CN108780974B - Device and method for judging whether terminal is crimped - Google Patents

Device and method for judging whether terminal is crimped Download PDF

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Publication number
CN108780974B
CN108780974B CN201780017292.1A CN201780017292A CN108780974B CN 108780974 B CN108780974 B CN 108780974B CN 201780017292 A CN201780017292 A CN 201780017292A CN 108780974 B CN108780974 B CN 108780974B
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region
area
regions
determination
terminal
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CN108780974A (en
Inventor
草野洋志
后藤淳
山川健司
矢野哲也
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Xinming And Industrial Corp
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Xinming And Industrial Corp
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    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01R—ELECTRICALLY-CONDUCTIVE CONNECTIONS; STRUCTURAL ASSOCIATIONS OF A PLURALITY OF MUTUALLY-INSULATED ELECTRICAL CONNECTING ELEMENTS; COUPLING DEVICES; CURRENT COLLECTORS
    • H01R4/00—Electrically-conductive connections between two or more conductive members in direct contact, i.e. touching one another; Means for effecting or maintaining such contact; Electrically-conductive connections having two or more spaced connecting locations for conductors and using contact members penetrating insulation
    • H01R4/10—Electrically-conductive connections between two or more conductive members in direct contact, i.e. touching one another; Means for effecting or maintaining such contact; Electrically-conductive connections having two or more spaced connecting locations for conductors and using contact members penetrating insulation effected solely by twisting, wrapping, bending, crimping, or other permanent deformation
    • H01R4/18—Electrically-conductive connections between two or more conductive members in direct contact, i.e. touching one another; Means for effecting or maintaining such contact; Electrically-conductive connections having two or more spaced connecting locations for conductors and using contact members penetrating insulation effected solely by twisting, wrapping, bending, crimping, or other permanent deformation by crimping
    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01R—ELECTRICALLY-CONDUCTIVE CONNECTIONS; STRUCTURAL ASSOCIATIONS OF A PLURALITY OF MUTUALLY-INSULATED ELECTRICAL CONNECTING ELEMENTS; COUPLING DEVICES; CURRENT COLLECTORS
    • H01R43/00—Apparatus or processes specially adapted for manufacturing, assembling, maintaining, or repairing of line connectors or current collectors or for joining electric conductors
    • H01R43/04—Apparatus or processes specially adapted for manufacturing, assembling, maintaining, or repairing of line connectors or current collectors or for joining electric conductors for forming connections by deformation, e.g. crimping tool
    • H01R43/048—Crimping apparatus or processes

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  • Engineering & Computer Science (AREA)
  • Manufacturing & Machinery (AREA)
  • Manufacturing Of Electrical Connectors (AREA)
  • Connections Effected By Soldering, Adhesion, Or Permanent Deformation (AREA)
  • General Factory Administration (AREA)

Abstract

A quality determination device (100) is provided with: a pressure waveform acquisition unit (40) that acquires a pressure waveform when the terminal is crimped; a region area calculation unit (50) that divides the pressure waveform into a plurality of regions and calculates a region area for each region; a determination region extraction unit (60) that extracts a determination region using one or more regions included in the plurality of regions; a threshold setting unit (70) that sets a threshold on the basis of the average value and standard deviation of the area of the plurality of good product samples and defective product samples in the determination area; and a determination unit (80) that determines whether or not the terminal of the test product is crimped by comparing a region area in the determination region of the test product with the threshold value when the terminal of the test product is crimped by the terminal crimping device.

Description

Device and method for judging whether terminal is crimped
Technical Field
The present invention relates to a device and a method for determining whether or not a terminal is properly crimped to an end of an electric wire.
Background
Conventionally, in the manufacture of wire harnesses and the like, a terminal crimping device for crimping a terminal to an end of an electric wire is used. The terminal-attached electric wire whose terminal is not satisfactorily crimped is a defective product. Therefore, when the terminal is crimped, it is preferable to check whether or not the terminal is satisfactorily crimped. Therefore, conventionally, a quality determination device for terminal crimping, which determines whether or not a terminal is well crimped to an end of an electric wire, is used. Patent document 1 describes a quality determination device that detects a pressure applied to a substrate of a terminal crimping device by a pressure sensor and determines the quality of terminal crimping based on the pressure. In the above-described quality determination device, first, a pressure waveform indicating a change in pressure with respect to the elapsed time of the terminal crimping process is generated for a good product. Hereinafter, this pressure waveform is referred to as a reference waveform. Then, the pressure waveform of the test piece (hereinafter referred to as a test waveform) is compared with a reference waveform. Whether the inspection product is a good product or a defective product is determined based on whether the difference is larger than a predetermined value.
In the above-described quality determination device, the reference waveform is set as follows. That is, first, a pressure waveform when a good terminal crimping is performed using a plurality of wires and terminals is prepared. Hereinafter, the electric wire and the terminal, to which the terminal is well crimped, are referred to as good product samples. Then, the average of the pressure waveforms of the plurality of good product samples is used as a reference waveform. When the standard deviation is defined as σ, the reference waveform ± 3 σ is set as the threshold. At the time of examination, the pressure waveform is sampled every predetermined time. If the ratio of the number of times of exceeding the threshold value to the total number of samples exceeds an allowable value, it is determined to be defective.
Patent document 2 describes a quality determination device in which a plurality of modes of pressure failure are taken into consideration. In the quality determination device described in patent document 2, a time point at which the difference between the inspection waveform and the reference waveform becomes maximum is specified in advance for each type of defective pressure contact. Then, at a plurality of time points corresponding to the plurality of patterns, it is determined whether or not the difference between the pressure value of the inspection waveform and the pressure value of the reference waveform exceeds a predetermined value (tolerance). In patent document 2, specific examples of the tolerance include 6 σ (X)/ave (X), and (good product average-defective product average)/2. σ (X) and ave (X) are standard deviation and average value of good samples, respectively.
Documents of the prior art
Patent document
Patent document 1: japanese patent laid-open publication No. 2005-135820
Patent document 2: japanese patent laid-open No. 2014-56796
Disclosure of Invention
Technical problem to be solved
In the devices for determining good or bad in patent documents 1 and 2, the value (threshold) as a criterion for determining good or bad is set based on the degree of deviation from the average value of good product samples. In the setting of the threshold, the variation in defective products is not considered. However, even if the average values of defective products are the same, if the degree of variation (Japanese: ば ら つ き) in the defective products is different, the possibility that the defective products are regarded as defective products is different.
Fig. 27A and 27B are diagrams showing examples in which the average values of good products, the standard deviations of good products, and the average values of defective products are the same, but the standard deviations of defective products are different. Fig. 27B shows a larger deviation and a larger standard deviation of defective products than fig. 27A. Since the threshold is set based on the average value of good products or the average value and the standard deviation, the threshold is equal in the examples of fig. 27A and 27B. Here, the tolerance D is (good product average-bad product average)/2. However, the same applies to the tolerance D ═ 6 σ (X)/ave (X). In this example, it is understood that the defective products in fig. 27B are larger in proportion than the defective products in fig. 27A in the ratio exceeding the threshold value. That is, it is found that the defective product in fig. 27B is more likely to be mistaken for a good product. In the conventional quality determination device, such a difference in variation cannot be considered.
The present invention has been made in view of the above problems, and an object of the present invention is to provide a device and a method for determining whether or not a good product is obtained by terminal crimping, which can determine whether or not a good product is obtained with higher accuracy.
(II) technical scheme
The present invention provides a device for determining whether a terminal is crimped or not, comprising: a pressure waveform acquisition unit that acquires a pressure waveform indicating a relationship between a degree of progress of terminal crimping by a terminal crimping device and a pressure generated in the terminal crimping device; a region area calculation unit that divides the pressure waveform into a plurality of regions according to the degree of progress of terminal crimping, and calculates a region area, which is an area of a portion surrounded by the pressure waveform, for each region; a determination region extraction unit that extracts a determination region using one or two or more regions included in the plurality of regions; a threshold setting unit that sets a threshold based on an average value and a standard deviation of area areas of a plurality of good product samples in the determination area and an average value and a standard deviation of area areas of a plurality of defective product samples in the determination area; and a determination unit that determines whether or not the terminal of the test product is crimped by comparing a region area in the determination region of the test product with the threshold value when the terminal of the test product is crimped by the terminal crimping device.
According to the quality determination device, the threshold value as the quality determination reference for the terminal pressure bonding is set based on the average value and the standard deviation of the area areas of the plurality of good product samples in the determination area and the average value and the standard deviation of the area areas of the plurality of defective product samples in the determination area. Thus, the threshold value can be set in consideration of not only the average value of good products, variations in good products, and the average value of defective products but also variations in defective products. This reduces the possibility of defective products being mistaken for good products, and allows more accurate quality determination.
In addition, the above-described goodness determination means does not calculate the pressure waveform at one time point, but calculates each region having a certain degree of width. Therefore, it is not necessary to perform calculation for each enormous number of time points, and the calculation time can be shortened. Further, since it is less susceptible to the influence of the interference (noise) generated by the burst, it is possible to suppress a decrease in the determination accuracy due to the interference.
According to a preferred aspect of the present invention, the determination region extracting unit includes: an effective region selection unit that selects one or two or more regions from the plurality of regions as effective regions based on an average value and a standard deviation of the region areas of the good product samples in the respective regions and an average value and a standard deviation of the region areas of the defective product samples in the respective regions; and a determination region determining unit that determines the determination region using the effective region.
According to the above aspect, the region in which the good product and the defective product are easily identified can be selected as the effective region based on the average value and the standard deviation of the area of the good product sample and the defective product sample. Then, the judgment region can be decided using the selected effective region. Thus, good products and defective products can be distinguished relatively clearly, and high-precision quality determination can be performed.
According to a preferred embodiment of the present invention, the determination region extracting section includes a region-based calculating section for calculating an average μ of the region areas of the good product samples in the respective regionsOKStandard deviation sigma of area of good product sampleOKAverage value μ of area of defective sample regionNGAnd standard deviation sigma of area of defective sampleNGThe effective region selection unit is configured to: when m and n are real numbers of 1 or more, the number is based on μNG＞μOKWhen B is ═ muNG-n×σNG)-(μOK+m×σOK) Or μOK＞μNGWhen B is ═ muOK-n×σOK)-(μNG+m×σNG) The larger the first variable, the larger the value, and one or more than two regions are selected from the plurality of regions as effective regions.
According to the mode, the area which is easy to mark and is different from the defective product can be selected as the effective area. Can clearly distinguish good products from defective products and can judge the quality with high precision.
According to a preferred embodiment of the present invention, the first variable is μNG＞μOKDegree of separation [ (. mu.) ]NG-n×σNG)-(μOK+m×σOK)]/(μNG-μOK) Or μOK＞μNGDegree of separation [ (. mu.) ]OK-n×σOK)-(μNG+m×σNG)]/(μOK-μNG)。
According to the mode, the area which is easy to mark and is different from the defective product can be selected as the effective area. Can clearly distinguish good products from defective products, and can perform high-precision quality judgment.
According to a preferred embodiment of the present invention, m-n-3.
According to the mode, the area which is easy to mark and is different from the defective product can be selected as the effective area. Can clearly distinguish good products from defective products and can judge the quality with high precision.
According to a preferred aspect of the present invention, the effective region selection unit is configured to: selecting, as an effective region, one of the plurality of regions in which the value of the first variable is largest. The determination region determining unit is configured to: and taking the effective area as a judgment area.
According to the above aspect, the determination region can be determined quickly and easily.
According to a preferred aspect of the present invention, the effective region selection unit is configured to: among the plurality of regions, two or more regions having a large value of the first variable are selected as effective regions. The determination region determining unit is configured to: the judgment area is determined using the two or more effective areas.
According to the above aspect, since the determination region is determined using the plurality of effective regions, a higher degree of determination can be performed.
According to a preferred aspect of the present invention, the effective region selection unit is configured to: and selecting at least two regions from the plurality of regions as effective regions in a descending order of the value of the first variable or in a descending order of the standard deviation of the area of the defective sample. The determination region determining section includes: a combination area generation unit that generates a combination area in which the weighted effective areas are combined, after weighting the selected effective areas; and a combined region determining unit that determines the determination region based on the combined region.
According to the above aspect, a more favorable determination of quality can be made.
According to a preferred aspect of the present invention, the effective region selection unit is configured to: among the plurality of regions, at least a first region in which a value of the first variable is first large, a second region in which the value is second large, and a third region in which the value is third large are selected as effective regions. The determination region determining section includes: a combined region generating unit that generates a plurality of combined regions including a combined region in which the first region and the second region are summed up, a combined region in which the first region and the third region are summed up, a combined region in which the second region and the third region are summed up, and a combined region in which the first region, the second region, and the third region are summed up; and a combined region determination unit configured to determine any one of the plurality of combined regions as a determination region based on an average value and a standard deviation of the region areas of the good product samples in the respective combined regions and an average value and a standard deviation of the region areas of the defective product samples in the respective combined regions.
According to the above aspect, by appropriately summing up a plurality of effective regions, it is possible to generate a region in which a good product is distinguished from a defective product by a greater degree than each effective region, and to use such a region as a determination region. Thus, good products and defective products can be distinguished more clearly, and quality determination with higher accuracy can be performed.
According to a preferred embodiment of the present invention, the determination region determining section includes a combined region individual calculating section for calculating an average μ of the region areas of the good product samples in the combined regionsOKStandard deviation sigma of area of good product sampleOKAverage value μ of area of defective sample regionNGAnd standard deviation sigma of area of defective sampleNG. The combination area determination unit is configured to: when r and s are real numbers of 1 or more, μ is set to a value in the plurality of combination regions generated by the combination region generating unitNG＞μOKWhen B is ═ muNG-r×σNG)-(μOK+s×σOK) Or μOK＞μNGWhen B is ═ muOK-r×σOK)-(μNG+s×σNG) And a combination area with the maximum value of the second variable, the value of which is larger as the value of the second variable is larger, is used as the judgment area.
According to the above aspect, among the plurality of combined regions, the combined region in which the good product and the defective product are distinguished easily can be used as the determination region. Thus, good products and defective products can be clearly distinguished, and quality determination with higher accuracy can be performed.
According to a preferred embodiment of the present invention, the second variable is μNG＞μOKDegree of separation [ (. mu.) ]NG-r×σNG)-(μOK+s×σOK)]/(μNG-μOK) Or μOK＞μNGDegree of separation [ (. mu.) ]OK-r×σOK)-(μNG+s×σNG)]/(μOK-μNG)。
According to the above aspect, good products and defective products can be clearly distinguished, and quality determination with higher accuracy can be performed.
According to a preferred embodiment of the present invention, r-s-3.
According to the above aspect, good products and defective products can be clearly distinguished, and quality determination with higher accuracy can be performed.
According to a preferred aspect of the present invention, the combination area generating unit is configured to: weighting at least the first region, the second region, and the third region when generating the plurality of combined regions.
According to the above aspect, when the combined region is generated, the combined region in which the good product and the defective product are distinguished more easily can be generated. Thus, good products and defective products can be clearly distinguished, and quality determination with higher accuracy can be performed.
According to a preferred aspect of the present invention, the combination area generating unit is configured to: the weighting is performed in such a manner that the smaller the standard deviation, the larger the weight.
According to the mode, the combined area which is easier to mark in the difference of the good product and the defective product can be generated.
According to a preferred aspect of the present invention, the combination area generating unit is configured to: the weighting is performed such that the weight is larger as the degree of separation is larger.
According to the mode, the combined area which is easier to mark in the difference of the good product and the defective product can be generated.
According to a preferred aspect of the present invention, the determination region extracting unit includes: an effective region selection unit that selects one or two or more regions among the plurality of regions as effective regions in the order of decreasing standard deviation value of the area of the defective sample; and a determination region determining unit that determines the determination region using the effective region.
According to the above aspect, a region in which the distribution of the defective sample is less likely to vary can be selected as the effective region. This makes it possible to perform a good quality determination.
According to a preferred embodiment of the present invention, the threshold setting unit includes: a determination region calculation unit for calculating the average value μ d of the region areas of the good samples in the determination regionOKStandard deviation sigma d of area of good product sampleOKAverage value μ d of area of defective sample regionNGAnd standard deviation σ d of area of defective sample regionNG(ii) a And a threshold value determination unit which determines μ d when p and q are real numbers of 1 or moreNG＞μdOKAnd (μ d)NG-p×σdNG)＞(μdOK+q×σdOK) Time (μ d)NG-p×σdNG) And (μ d)OK+q×σdOK) A specified value therebetween, or μ dOK＞μdNGAnd (μ d)OK-p×σdOK)＞(μNG+q×σdNG) Time (μ d)OK-p×σdOK) And (μ d)NG+q×σdNG) The predetermined value therebetween is determined as a threshold value.
According to the above mode, the threshold value for easily identifying the good product and the defective product can be set. By using such a threshold value, good products and defective products can be clearly distinguished, and high-precision quality determination can be performed.
According to a preferred aspect of the present invention, the terminal crimping device includes: an anvil on which an end of the wire and the terminal are placed; a crimper (Japanese: ク リ ン パ) capable of approaching and departing from the anvil; and an electric actuator for moving the crimper toward and away from the anvil. The degree of progress of crimping of the terminal is any one of an elapsed time, a position of the crimper, a moving distance of the crimper, a speed of the crimper, an acceleration of the crimper, a current supplied to the actuator, and an operation position of the actuator.
According to the above aspect, a favorable pressure waveform can be obtained, and the quality of the terminal crimping can be appropriately determined. Further, since the pressure waveforms of the good product sample, the defective product sample, and the inspection product when the terminal is crimped can be accurately aligned with the degree of progress of the terminal crimping with respect to each other, and compared with each other, it is possible to appropriately determine whether the terminal is crimped.
The method for judging whether the terminal is in pressure connection comprises the following steps: a step of performing terminal crimping of a plurality of good product samples and a plurality of defective product samples by a terminal crimping device, and acquiring a pressure waveform indicating a relationship between a degree of progress of the terminal crimping of each sample and a pressure generated in the terminal crimping device; dividing the pressure waveform of each sample into a plurality of regions according to the degree of progress of terminal crimping, and calculating a region area, which is an area of a portion surrounded by the pressure waveform, for each region; calculating an average value and a standard deviation of the area of the good product sample in each area, and an average value and a standard deviation of the area of the defective product sample in each area; selecting one or more regions from the plurality of regions as effective regions based on an average value and a standard deviation of the area of the good samples and the area of the defective samples; extracting a determination region using the effective region; setting a threshold value based on an average value and a standard deviation of area areas of the good product samples and the defective product samples in the determination area; and a step of performing terminal crimping of an inspection product by the terminal crimping device, and comparing a region area in the determination region of the inspection product with the threshold value to determine whether the terminal crimping of the inspection product is good or bad.
(III) advantageous effects
According to the present invention, it is possible to provide a device and a method for determining whether a good terminal is connected by pressure, which can determine whether a good terminal is connected by pressure with higher accuracy.
Drawings
Fig. 1 is a front view of the terminal crimping device.
Fig. 2 is a side view of the terminal crimping device.
Fig. 3 is a block diagram of the quality determination device.
Fig. 4 is a functional block diagram of the CPU.
Fig. 5 is a flowchart of a threshold setting method.
Fig. 6A is a top view of a good sample.
Fig. 6B is a top view of a defective sample.
Fig. 6C is a top view of another defective sample.
Fig. 6D is a top view of yet another defective sample.
Fig. 7 is a diagram showing a pressure waveform and divided regions.
Fig. 8 is a diagram showing normal distribution data of each sample in each region.
Fig. 9 is a diagram showing normal distribution data of good samples and defective samples in the area a 1.
Fig. 10 is a diagram showing normal distribution data of good samples and defective samples in the area a 2.
Fig. 11 is a diagram showing normal distribution data of good samples and defective samples in the area a 3.
Fig. 12 is a diagram showing normal distribution data of good samples and defective samples in the area a 4.
Fig. 13 is a diagram showing normal distribution data of good samples and defective samples in the area a 5.
Fig. 14 is a diagram showing normal distribution data of good samples and defective samples in the area a 6.
Fig. 15 is a diagram showing normal distribution data of good samples and defective samples in the area a 7.
Fig. 16 is a diagram showing normal distribution data of good samples and defective samples in the area A8.
Fig. 17 is a diagram showing normal distribution data of good samples and defective samples in the area a 9.
Fig. 18 is a diagram showing normal distribution data of good samples and defective samples in the area a 10.
Fig. 19 is an explanatory diagram of a and B in the separation degree C ═ B/a.
Fig. 20 is a graph showing normal distribution data of good samples and defective samples in the combined region a5+ a 6.
Fig. 21 is a graph showing normal distribution data of good samples and defective samples in the combination area a6+ a 7.
Fig. 22 is a graph showing normal distribution data of good samples and defective samples in the combined region a5+ a 7.
Fig. 23 is a diagram showing normal distribution data of good samples and defective samples in the combination area a5+ a6+ a 7.
Fig. 24 is a diagram showing the threshold values in the determination region.
Fig. 25 is a flowchart of a method for determining whether or not the terminal is crimped according to the embodiment.
Fig. 26 is a flowchart of a method for determining whether or not a terminal is crimped according to another embodiment.
Fig. 27A is a diagram showing a relationship between a probability distribution of good products and defective products and a threshold value.
Fig. 27B is a diagram showing a relationship between the probability distribution of good products and defective products and the threshold value.
Detailed Description
Hereinafter, embodiments of the present invention will be described. The quality determination device for terminal crimping (hereinafter simply referred to as "quality determination device") of the present embodiment is a device that determines whether or not a terminal is well crimped when the terminal crimping device crimps the terminal to an end of an electric wire.
(Structure of terminal crimping device)
First, the structure of the terminal crimping device 1 will be described with reference to fig. 1 and 2. Fig. 1 is a front view of the terminal crimping device 1, and fig. 2 is a side view of the terminal crimping device 1. The terminal crimping device 1 includes: an anvil 2, a crimper 3 capable of being lifted and lowered, and a motor 4 for lifting and lowering the crimper 3. The motor 4 is constituted by a servo motor capable of detecting the rotational position of the motor 4. However, the type of the motor 4 is not particularly limited, and a motor other than a servo motor may be used. The motor 4 is an example of an electric actuator that moves the crimper 3 toward and away from the anvil 2. However, the actuator is not limited to the motor 4. As the actuator, any actuator capable of raising and lowering the crimper 3 may be used.
As shown in fig. 1, a terminal supply device 5 is disposed on a side of the anvil 2. The terminal supply device 5 is configured to: a terminal group 11 formed by connecting a plurality of terminals 10 is sequentially supplied toward the anvil 2. When the crimper 3 is lowered in a state where the wire 12 and the terminal 10 are disposed between the crimper 3 and the anvil 2, the terminal 10 is separated from the adjacent terminal 10 by the crimper 3 and crimped to the wire 12. In the present embodiment, the motor 4, the crimper 3, and the anvil 2 constitute a crimping portion that crimps the terminal 10 to the electric wire 12 by applying pressure to the terminal 10.
When the terminal 10 is crimped to the end of the electric wire 12, pressure is generated at the crimping portion. In the present embodiment, a pressure sensor 21 that detects a pressure generated in the pressure-bonding section is provided. Here, the pressure sensor 21 is constituted by a piezoelectric element connected to the anvil 2. However, the specific structure of the pressure sensor 21 is not limited in any way. Not limited to the piezoelectric element, any sensor capable of detecting pressure may be suitably used. Although the pressure sensor 21 and the anvil 2 may be directly connected, they are indirectly connected in the present embodiment. That is, there are other components between the pressure sensor 21 and the anvil 2. As long as it is not particularly limited in this specification, "connected" includes: a direct connection, and an indirect connection via other components. The pressure sensor 21 may be disposed to detect a pressure generated at any one of the pressure-bonding sections, and is not necessarily connected to the anvil 2. The pressure sensor 21 may be connected to the crimper 3, for example. Further, the pressure-sensitive adhesive sheet may be connected to a portion other than the pressure-bonding section as long as the pressure generated by the pressure-bonding of the terminal can be detected.
The pressure sensor 21 is electrically connected to the controller 20. Further, "electrically connected" means: communicatively connected by wired or wireless means. The controller 20 may be a microcomputer incorporated in the terminal crimping apparatus 1, or may be a computer (for example, a personal computer) disposed outside the terminal crimping apparatus 1. In the present embodiment, the pressure sensor 21 is connected to the controller 20 by an electric wire. The pressure sensor 21 is configured to output a voltage value or a current value according to the magnitude of the pressure when receiving the pressure. The controller 20 detects the pressure generated at the crimping portion based on the value of the voltage or current received from the pressure sensor 21.
The structure of the terminal crimping apparatus 1 has been described above, but the terminal crimping apparatus 1 described above is merely an example. The terminal crimping device to which the quality judging device of the present invention is applied is not limited at all. The quality determination device of the present invention can be applied to various known terminal crimping devices.
(Structure of the quality judging device)
Next, the structure of the quality determination device 100 will be described. As shown in fig. 3, the quality determination device 100 of the present embodiment includes: the pressure sensor 21, the a/D converter 22, the controller 20, and the display 26 described above. The quality determination device 100 may further include an external memory 27 such as a hard disk. The controller 20 includes a CPU30, a ROM24, and a RAM 25. The motor 4 is connected to a servo amplifier 8, and the servo amplifier 8 is connected to a controller 20.
Fig. 4 is a functional block diagram of the CPU 30. As will be described in detail later, the CPU30 functions as the pressure waveform acquisition unit 40, the area calculation unit 50, the judgment area extraction unit 60, the threshold setting unit 70, and the judgment unit 80 when executing the processing described later. The determination region extraction unit 60 includes: an effective region selection unit 61, a region-based calculation unit 62, and a determination region determination unit 63. The determination region determining unit 63 includes: a combined region generating unit 64, a combined region calculating unit 65, and a combined region determining unit 66. The threshold setting unit 70 includes a determination region calculation unit 71 and a threshold determination unit 72. Since the above-described respective sections are realized by the CPU30, the pressure waveform acquisition unit 40, the region area calculation unit 50, the judgment region extraction unit 60, the threshold setting unit 70, and the judgment unit 80 may be referred to as a pressure waveform acquisition processor, a region area calculation processor, a judgment region extraction processor, a threshold setting processor, and a judgment processor, respectively. The effective region selection unit 61, the region-based calculation unit 62, and the determination region determination unit 63 may be referred to as an effective region selection processor, a region-based calculation processor, and a determination region determination processor, respectively. The combined region generating unit 64, the combined region calculation unit 65, and the combined region determination unit 66 may be referred to as a combined region generating processor, a combined region calculation processor, and a combined region determination processor, respectively. The determination region calculation unit 71 and the threshold determination unit 72 may be referred to as a determination region calculation processor and a threshold determination processor, respectively.
(method for judging superiority and inferiority)
Next, a method of determining the quality performed by the quality determining apparatus 100 will be described. When the terminal pressure bonding of the test product is performed, the quality determination device 100 determines the quality of the terminal pressure bonding based on whether or not a predetermined detection value (region area of a determination region described later) exceeds a predetermined threshold value. First, a method of setting a threshold value will be described.
Fig. 5 is a flowchart of a threshold setting method. First, in step S1, a plurality of sets of the electric wires 12 and the terminals 10 are prepared. In the present specification, the electric wire 12 used for the threshold setting and the terminal 10 crimped to the end of the electric wire 12 are referred to as "samples". In step S1, a plurality of good product samples and a plurality of defective product samples are prepared.
The good product sample refers to: a set of wires 12 and terminals 10 which are well crimped. The defective samples are: a set of wires 12 and terminals 10 that are not well crimped. Fig. 6A shows a good product sample. In a good product sample, the insulating tube 10a of the terminal 10 is crimped to the sheath 12a of the electric wire 12, and the wire tube 10b of the terminal 10 is crimped to the core wire 12b of the electric wire 12.
Fig. 6B to 6D show examples of defective samples. For example, as shown in fig. 6B to 6D, the terminal 10 has various defective pressure connections. Fig. 6B shows a defective sample (so-called core wire leakage) in which a part of the core wire 12B of the electric wire 12 is not crimped to the wire barrel 10B. Fig. 6C shows a defective sample (so-called core-down position) in which the core 12b of the electric wire 12 is crimped to the insulation tube 10a without being crimped to the tube 10 b. Fig. 6D shows a defective sample in which the coating 12a of the electric wire 12 is pressed against the wire barrel 10b (so-called coating bite). In the present embodiment, a plurality of defective samples are prepared for each type of defective pressure bonding.
Next, in step S2, the good product sample and the defective product sample are subjected to terminal crimping processing using the terminal crimping apparatus 1. Then, a pressure waveform is acquired for each sample (see fig. 7). Here, the pressure waveform means: a waveform indicating a change in the pressure P detected by the pressure sensor 21 with respect to the degree of progress of the terminal crimping process of the terminal crimping device 1. In the present embodiment, the elapsed time t of the terminal crimping process is used as a variable indicating the degree of progress of the terminal crimping process. However, the variable is not limited to the elapsed time t of the terminal crimping process as long as it can indicate the degree of progress of the terminal crimping process. When the process of step S2 is performed, the CPU30 functions as the pressure waveform acquisition unit 40. The acquired pressure waveform is stored as a sample waveform in the RAM 25. The RAM25 is an example of a sample waveform storage unit that stores pressure waveforms of good product samples and defective product samples. However, the sample waveform storage unit is not limited to the RAM25, and may be the external memory 27 or the like.
In step S3, as shown in fig. 7, the pressure waveform of each sample is divided into a plurality of regions for each elapsed time. Here, the pressure waveform is divided into 10 regions a1, a2, A3, a4, … …, a 10. The number of divisions of the region is not particularly limited. The width (time width in the present embodiment) of each region may or may not be constant. The CPU30 functions as a pressure waveform divider (not shown) when dividing the pressure waveform. Next, the CPU30 calculates the area of a portion surrounded by the pressure waveform (hereinafter referred to as the area of the region) for each region. For example, in the region a4, the area of the region surrounded by the point P1, the point P2, the point P3, and the point P4 is a region area. The CPU30 functions as the area calculation unit 50 when calculating the area of each area.
Next, the process proceeds to step S4, where the area of the good product sample region and the area of the defective product sample region in each mode are summed up for each region. In step S2, pressure waveforms of a plurality of good product samples and pressure waveforms of defective product samples of each form are acquired. Therefore, data of a probability distribution (normal distribution) as shown in fig. 8 can be obtained for each region for each good sample and each type of defective sample. The CPU30 calculates the average value mu of good product samples for each regionOKStandard deviation sigma of good samplesOKAverage value μ of defective samples of each formNGStandard deviation σ of defective sample of each formNG. In this case, the CPU30 functions as the area calculating unit 62.
Fig. 9 to 18 are diagrams comparing the normal distribution of good samples in the regions a1 to a10 with the normal distribution of defective samples of a predetermined form, respectively. For example, as shown in fig. 10, when the difference between the area of the good sample and the area of the defective sample is small, the normal distribution of the good sample and the normal distribution of the defective sample tend to be close to each other. In contrast, for example, as shown in fig. 14, when the difference between the area of the good sample region and the area of the defective sample region is large, the normal distribution of the good sample tends to be far from the normal distribution of the defective sample. The larger the difference between the area of the good product sample and the area of the defective product sample, the farther the normal distribution of the defective product sample is from the normal distribution of the good product sample. The portion where the normal distribution of the good sample and the normal distribution of the defective sample overlap each other is a portion where it is difficult to distinguish between a good product and a defective product. In other words, even a defective product may be mistaken for a good product. On the other hand, when the normal distribution of good samples is separated from the normal distribution of defective samples, good and defective samples are easily distinguished from each other. Therefore, in the quality determination device 100 according to the present embodiment, a region in which the normal distribution of the good product samples and the normal distribution of the defective product samples overlap less is selected, and the quality determination is performed using the selected region. The region thus selected is hereinafter referred to as an effective region.
In step S5, the CPU30 performs selection of an effective region. The region in which the normal distribution of the good samples is separated from the normal distribution of the defective samples is suitable as the effective region. Therefore, the region in which the normal distribution of the good sample and the normal distribution of the defective sample are separated from each other to the maximum extent may be selected as the effective region. However, in all the regions, the normal distribution of the good samples may overlap with the normal distribution of the defective samples. In this case, it is difficult to distinguish a good product from a defective product by only one region. However, by combining a plurality of regions, the overlap between the normal distribution of the good samples and the normal distribution of the defective samples can be further reduced or eliminated. Therefore, in the present embodiment, in order to eliminate or minimize the overlap between the normal distribution of the good samples and the normal distribution of the defective samples, a region (hereinafter, referred to as a combined region) in which a plurality of regions are selected and appropriately summed up is considered as an effective region.
In the present embodiment, the first, second, and third regions having the first, second, and third degrees of separation are selected as the effective regions in all the regions. However, the method of selecting the effective region is not particularly limited. When m and n are real numbers (e.g., natural numbers) of 1 or more, the degree of separation C is μNG＞μOKWhen C ═ B/A ═ muNG-m×σNG)-(μOK+n×σOK)]/(μNG-μOK) Is defined (refer to FIG. 19) asOK＞μNGWhen C is ═ muOK-m×σOK)-(μNG+n×σNG)]/(μOK-μNG) And (4) defining. In the present embodiment, m-n-3. Here, regions a5, a6, a7 are selected as effective regions. The CPU30 functions as the effective region selection unit 61 when selecting an effective region.
When the combined regions are generated from the effective regions a5 to a7, the data of the effective regions a5 to a7 can be used as they are. However, as is clear from fig. 13 to 15, the effective regions a5 to a7 also include regions where the variation in the normal distribution of good or defective samples is large and regions where the variation is small. The smaller the deviation, the less likely an error will occur in the data, and therefore, the better or worse the judgment is. Therefore, in the present embodiment, when the effective regions a5 to a7 are combined in step S6, the weighting is performed so that the smaller the variation in data, the greater the weight. In the present embodiment, when the weighting coefficients of the effective regions a5, a6, and a7 are K5, K6, and K7, K5 ═ K/σ 5, K6 ═ K/σ 6, and K7 ═ K/σ 7, respectively. Here, k is a fixed value, and σ 5, σ 6, and σ 7 are standard deviations of good samples in the effective regions a5, a6, and a7, respectively. σ 5, σ 6, and σ 7 may be standard deviations of the defective samples in the effective regions a5, a6, and a7, respectively. In the present embodiment, K5 < K6 < K7. However, the weighting coefficients are merely examples, and the specific method of weighting is not particularly limited. For example, the weighting of the effective region may be performed such that the weighting becomes larger as the degree of separation becomes larger.
In step S7, the weighted effective regions are combined to generate a combined region. Here, the combined regions a5+ A6, A6+ a7, a7+ a5, and a5+ A6+ a7 are generated for the weighted effective regions a5, A6, and a 7. The CPU30 functions as the combined region generating unit 64 when weighting the effective regions and generating the combined region. Subsequently, the CPU30 calculates the average value μ of good product samples for each combination areaOKStandard deviation sigma of good samplesOKAverage value μ of defective samples of each formNGStandard deviation σ of defective sample of each formNG. In this case, the CPU30 functions as the combined area calculating unit 65. Fig. 20, 21, 22, and 23 are diagrams showing normal distributions of good samples and defective samples in combination regions a5+ a6, a6+ a7, a5+ a7, and a5+ a6+ a7, respectively.
Next, the process proceeds to step S8, and the most suitable region for the quality determination is determined as the determination region from among the combination regions. In the present embodiment, the degrees of separation of the combined regions a5+ a6, a6+ a7, a5+ a7, and a5+ a6+ a7 generated in step S7 are calculated, and the combined region having the greatest degree of separation is set as the determination region. Here, the combined region where the degree of separation is the greatest is a6+ a 7. Therefore, the combined region a6+ a7 becomes a determination region. The CPU30 functions as the combined area determination unit 66 when determining the determination area from among the plurality of combined areas.
Next, the process proceeds to step S9, where a threshold E (see fig. 24) is set based on the normal distribution of the good product samples and the defective product samples in the determination area. At this time, the CPU30 functions as the threshold setting unit 70. The threshold E may be a boundary value for distinguishing a good sample from a bad sample. The specific setting method of the threshold E is not limited at all, and for example, the average value of the area of the good-quality sample in the judgment region is represented as μ dOKThe standard deviation of the area of the good sample is recorded as σ dOKThe average area of the defective sample was expressed as μ dNGThe standard deviation of the area of the defective sample was expressed as σ dNGIn this case, (in this case, the CPU30 functions as the determination region calculation unit 71), (. mu.d) can be calculatedNG-p×σdNG) And (μ d)OK+q×σdOK) The predetermined value therebetween is set as a threshold E. P and q are real numbers (e.g., natural numbers) of 1 or more. For example, (μ d) may beNG-3σdNG) And (μ d)OK+3σdOK) The specified value in between is used as the threshold E. In addition, (μ d) may be usedNG-p×σdNG) As the threshold E. For example, the threshold E ═ μ d may be setNG-3σdNGThe threshold E may be set to μ dNG-6σdNG. Also can be (d)OK+q×σdOK) As the threshold E. For example, the threshold E ═ μ d may be setOK+3σdOKThe threshold E may be set to μ dOK+6σdOK. The CPU30 functions as the threshold determination unit 72 when determining the threshold.
As described above, the threshold E is set as the quality determination criterion. The set threshold E is stored in the RAM25 or the external memory 27. In the above-described steps, the pressure waveform, the normal distribution, the average value, the standard deviation, and the like of the good and defective products in each region may be displayed on the display 26.
The quality determination by the quality determination device 100 is performed as follows (see fig. 25). Here, the pair of the electric wire 12 and the terminal 10 to be evaluated is referred to as an inspection product. When the terminal crimping device 1 is crimping the terminal of the test product, the quality determination device 100 receives the signal from the pressure sensor 21 and acquires the pressure waveform of the test product (step S11). Then, the pressure waveform is divided into regions a1 to a10 (step S12). Next, the effective regions a5 to a7 are selected (step S13), the effective regions a5 to a7 are weighted in the same manner as described above (step S14), the judgment region a6+ a7 is extracted, and the region area of the judgment region a6+ a7 is calculated (step S15). Then, the area of the judgment region a6+ a7 of the test piece is compared with the threshold E (step S16). When the area of the judgment region a6+ a7 of the test piece exceeds the threshold E, the test piece is judged as a defective product (step S17). On the other hand, when the area of the judgment region a6+ a7 of the test piece is equal to or less than the threshold E, the test piece is judged as a good product (step S18). The CPU30 functions as the determination unit 80 when performing the processing of steps S11 to S18.
Here, since the average value of the area of the good sample is smaller than the average value of the area of the defective sample in the determination area a6+ a7 (see fig. 24), when the area of the determination area a6+ a7 of the test piece is equal to or less than the threshold E, the test piece is determined as good. However, in the determination region, when the average value of the region area of the good product sample is larger than the average value of the region area of the defective product sample, the test product is determined as a good product when the region area of the determination region of the test product is equal to or larger than the threshold value, and the test product is determined as a defective product when the region area of the determination region of the test product is smaller than the threshold value.
The judgment result is displayed by the display 26, for example. Thus, the user can easily recognize whether or not the terminal of the inspection product is properly crimped. Further, the notification method of the determination result is not limited to display by the display 26. For example, the quality determination device 100 may be provided with a speaker, and the result of the quality determination by the terminal pressure connection may be notified by outputting a sound from the speaker.
(effects of the embodiment)
As described above, according to the quality determination device 100 of the present embodiment, the terminal crimping device 1 performs terminal crimping of a plurality of good product samples and a plurality of defective product samples, and automatically sets a threshold value based on the data thereof. When a human manually sets the threshold value based on the feeling and experience, the accuracy of the quality determination depends on the feeling and experience of the human, and a human error may occur. However, according to the quality determination device 100 of the present embodiment, since the threshold value is automatically set based on objective data, such human error does not occur. In addition, if a person manually sets a threshold value based on a sense and experience, if a new critical point (a point at which a difference between a good product and a defective product is easily distinguished) is generated in the data, the critical point cannot be used. However, according to the quality determination device 100 of the present embodiment, since the threshold is automatically set based on the data of the good product samples and the defective product samples, the newly generated threshold can be used.
According to the quality determination device 100 of the present embodiment, the threshold E, which is the quality determination reference for terminal crimping, is set based on the average value and standard deviation of the area areas of the plurality of good product samples in the determination area and the average value and standard deviation of the area areas of the plurality of defective product samples in the determination area. Thus, the threshold E can be set in consideration of the average value of the good products, the variation in the good products, and the average value of the defective products, as well as the variation in the defective products. This reduces the possibility of a defective product being mistaken for a good product, and allows a more accurate quality determination.
The specific value of the threshold E is not particularly limited, and in the present embodiment, (μ d)OK-p×σdOK) And (μ d)NG+q×σdNG) The specified value in between is used as the threshold E. Thus, the quality determination can be performed with high accuracy.
The quality determination device 100 of the present embodiment calculates the average value and standard deviation of good samples and defective samples for each region having a certain width. Therefore, the following advantages are obtained in comparison with the conventional technique (for example, see patent document 2) in which the time (in other words, the single time point) at which the difference between the good product sample and the defective product sample is the maximum is specified and the section around the time is set as the determination region. First, in the present embodiment, a region area is calculated for each of a predetermined number of regions set in advance, and the difference between a good product sample and a defective product sample is calculated based on the region area. Therefore, it is not necessary to calculate the difference between the good product samples and the defective product samples for each elapsed time, that is, it is not necessary to calculate the difference for each of a large number of time points, as in the conventional technique described above. This can shorten the calculation time. Next, in the above-described conventional technique, there is a possibility that the following problems are present: for example, a sudden pressure change occurs in a defective sample due to disturbance (noise), and the difference between the defective sample and the defective sample becomes maximum at a timing different from the timing at which the difference between the original defective sample and the defective sample becomes maximum. In this case, the accuracy of the quality determination may be lowered due to the above-described interference. However, in the present embodiment, the difference between the good product sample and the defective product sample is calculated based on the area of the region, and therefore such interference can be mitigated. This makes it difficult for the determination accuracy to be degraded due to the interference.
According to the quality determination device 100 of the present embodiment, the pressure waveform is divided into the plurality of regions a1 to a10, and the regions a5 to a7, from among the regions a1 to a10, in which the difference between the good product and the defective product is easily recognized, are selected as the effective regions. Then, the determination regions are determined using the effective regions a5 to a 7. Thus, good products and defective products can be distinguished relatively clearly, and high-precision quality determination can be performed.
In addition, when the number of regions for determining a region is only one for one type of defect, the critical point of defective products appearing in other regions (the point where the difference from the defective products is easily distinguished) cannot be effectively used, but in the present embodiment, since the plurality of regions a5 to a7 are selected as the effective regions, the plurality of critical points appearing in the plurality of regions a5 to a7 can be effectively used.
In addition, according to the quality determination device 100 of the present embodiment, the regions a5 to a7 having a large degree of separation are selected as the effective regions from the plurality of regions a1 to a 10. Therefore, good products and defective products can be clearly distinguished, and high-precision quality determination can be performed.
Further, according to the quality determination device 100 of the present embodiment, a plurality of combination regions in which the effective regions a5 to a7 are appropriately summed are generated, and the determination region is determined based on the average value and the standard deviation of the region areas of the good product samples in each combination region and the average value and the standard deviation of the region areas of the defective product samples in each combination region. Since the determination region can be a region in which the difference between the good product and the defective product is more easily recognized than the effective regions a5 to a7, the good product and the defective product can be more clearly distinguished, and the quality determination can be performed with higher accuracy.
According to the merit/disadvantage determination apparatus 100 of the present embodiment, a region having a large degree of separation from a plurality of combination regions is set as a determination region. Therefore, good products and defective products can be clearly distinguished, and high-precision quality determination can be performed.
In addition, according to the quality determination device 100 of the present embodiment, when the effective regions a5 to a7 are combined, weighting is performed to generate a combined region in which good products and defective products can be more clearly distinguished. According to the merit/disadvantage determination device 100 of the present embodiment, weighting is performed such that the weight increases as the standard deviation decreases or the weight increases as the degree of separation increases. Therefore, a more preferable combination area can be generated, and a more preferable determination area can be obtained. This makes it possible to determine the quality with higher accuracy.
Although one embodiment of the present invention has been described above, the present invention is not limited to the above embodiment, and may be implemented in various other embodiments. Next, examples of other embodiments will be briefly described.
(other embodiments)
In the above embodiment, in step S5, three effective regions a5 to a7 are selected from all the regions a1 to a10, and determination regions are extracted from a plurality of combined regions in which these effective regions a5 to a7 are appropriately combined. However, as described above, one region having the largest degree of separation between the normal distribution of the good samples and the normal distribution of the defective samples may be selected as the effective region in all the regions a1 to a10, and the effective region may be extracted as the determination region. Further, a variable indicating the degree of separation between the normal distribution of the good product samples and the normal distribution of the defective product samples (hereinafter referred to as a third variable) may be defined, and a region in which the value of the third variable is equal to or greater than a predetermined value may be selected as the effective region. An area in which the value of the third variable is the maximum (an effective area in the case where there is one effective area in which the value of the third variable is equal to or greater than a predetermined value) may be extracted as the determination area.
As shown in fig. 26, after step S4, it may be determined whether or not there is an area where the value of the third variable is equal to or greater than the predetermined value (step S4A), and if YES, an area where the value of the third variable is the largest (if one area where the value of the third variable is equal to or greater than the predetermined value is present) may be selected as the effective area (step S4B), and the effective area may be set as the determination area (step S4C). If the determination result in step S4A is NO (NO), the processing from step S5 onward may be performed. Further, the above processing may be performed by the CPU 30.
In the above embodiment, three regions are selected as the effective regions. However, the number of selected effective areas is not limited to three. The number of the effective areas may be four or more. In this case, a region in which two or more effective regions are appropriately added can be used as the combined region.
In the above embodiment, the elapsed time t of the terminal crimping process is used as a variable indicating the degree of progress of the terminal crimping. However, the variable indicating the degree of progress of the terminal crimping process is not limited to the elapsed time t. Any variable that can uniquely specify the degree of progress of the terminal crimping process may be used. The terminal crimping is performed by the movement of the crimper 3. The crimper 3 is driven by a motor 4. Therefore, the degree of progress of the terminal crimping can be uniquely specified based on, for example, the position or the moving distance of the crimper 3, the speed of the crimper 3, the acceleration of the crimper 3, the current supplied to the motor 4, or the rotational position of the motor 4 (the operating position of the actuator).
In the above embodiment, the first variable used in selecting the effective region is the degree of separation. However, the first variable is not limited to the degree of separation. As a first variable, canTo use an arbitrary variable indicating the degree of separation of the normal distribution of the area of the good sample and the defective sample. For example, when m and n are real numbers of 1 or more as the first variable, μ can be usedNG＞μOKWhen B is ═ muNG-n×σNG)-(μOK+m×σOK) Or μOK＞μNGWhen B is ═ muOK-n×σOK)-(μNG+m×σNG) Larger values are more variable.
In the above embodiment, the second variable used for determining the determination region is the degree of separation. However, the second variable is not limited to the degree of separation. As the second variable, any variable indicating the degree of separation of the normal distribution of the area of the good sample and the defective sample can be used. For example, when r and s are real numbers of 1 or more as the second variable, μ can be usedNG＞μOKWhen B is ═ muNG-r×σNG)-(μOK+s×σOK) Or μOK＞μNGWhen B is ═ muOK-r×σOK)-(μNG+s×σNG) Larger values are more variable.
The method of selecting the effective region is not limited to the method of the above embodiment. The effective area selection unit may be configured to: one or more regions among the plurality of regions are selected as effective regions in the order of increasing the standard deviation of the area of the defective sample. The determination region determining unit may be configured to: the effective areas are used to determine a judgment area. Thus, a region with less variation in the distribution of the defective sample can be selected as the effective region, and good quality determination can be performed.
When selecting the effective region, a plurality of regions may be selected in descending order of the value of the first variable, and σ may be further selected in the plurality of regionsNGOne or more regions are selected in descending order of the value of (a) and are used as effective regions. In other words, a plurality of regions may be selected in descending order of the value of the first variable, and when n is a real number equal to or greater than 1, the plurality of regions may be selectedIn the domain according to | (μ)NG+n×σNG)-(μNG-n×σNG) One or more regions are selected in descending order of the value of | and are used as effective regions. Thus, a region in which the interval between the probability distributions of good product samples and defective product samples is large and the variation in the distribution of defective product samples is small can be selected as the effective region, and good quality determination can be performed.
As described above, the effective regions may be combined with or without weighting. When weighting is performed, the specific method is not particularly limited. The effective area selection unit may be configured to: in the plurality of regions, at least two or more regions are selected as effective regions in the order of decreasing the value of the first variable or in the order of increasing the standard deviation of the region areas of the defective sample. The combination area generation unit may be configured to: after weighting the selected effective regions, a combined region is generated by combining the weighted effective regions, and the combined region determining unit may be configured to: the judgment area is determined by these combined areas.
Further, the above embodiments may be combined as appropriate.
Description of the reference numerals
1-a terminal crimping device;
2-an anvil block;
3-a crimping device;
4-an electric motor;
10-terminal;
12-an electrical wire;
20-a controller;
21-a pressure sensor;
40-a pressure waveform obtaining part;
50-a region area calculating unit;
60-a judgment region extraction unit;
70-threshold setting unit;
80-a judgment section;
100-a quality judging means.

Claims (18)

1. A device for determining whether a terminal is crimped or not, comprising:
a pressure waveform acquisition unit that acquires a pressure waveform indicating a relationship between a degree of progress of terminal crimping by a terminal crimping device and a pressure generated in the terminal crimping device;
a region area calculation unit that divides the pressure waveform into a plurality of regions according to the degree of progress of terminal crimping, and calculates a region area, which is an area of a portion surrounded by the pressure waveform, for each region;
a determination region extraction unit that extracts a determination region using one or two or more regions included in the plurality of regions;
a threshold setting unit that sets a threshold based on an average value and a standard deviation of area areas of a plurality of good product samples in the determination area and an average value and a standard deviation of area areas of a plurality of defective product samples in the determination area; and
a determination unit that determines whether or not the terminal of the test product is crimped by comparing a region area in the determination region of the test product with the threshold value when the terminal of the test product is crimped by the terminal crimping device,
the judgment region extraction unit includes:
an effective region selection unit that selects one or two or more regions from the plurality of regions as effective regions based on an average value and a standard deviation of the region areas of the good product samples in the respective regions and an average value and a standard deviation of the region areas of the defective product samples in the respective regions; and
and a determination region determination unit configured to determine the determination region using the effective region.
2. A terminal crimping quality judging device according to claim 1,
the determination region extracting section has a region-by-region calculating section for calculating an average value [ mu ] of region areas of good product samples in the respective regionsOKStandard deviation sigma of area of good product sampleOKSample of defective productAverage value mu of the area of the region(s)NGAnd standard deviation sigma of area of defective sampleNG，
The effective region selection unit is configured to: when m and n are real numbers of 1 or more, the number is based on μNG＞μOKWhen B is ═ muNG-n×σNG)-(μOK+m×σOK) Or μOK＞μNGWhen B is ═ muOK-n×σOK)-(μNG+m×σNG) The larger the first variable, the larger the value, and one or more than two regions are selected from the plurality of regions as effective regions.
3. The apparatus for determining whether a terminal is crimped according to claim 2, wherein the first variable is μNG＞μOKDegree of separation [ (. mu.) ]NG-n×σNG)-(μOK+m×σOK)]/(μNG-μOK) Or μOK＞μNGDegree of separation [ (. mu.) ]OK-n×σOK)-(μNG+m×σNG)]/(μOK-μNG)。
4. A terminal crimping quality judging device according to claim 3, wherein m-n-3.
5. The apparatus for judging whether a terminal is crimped according to claim 2,
the effective region selection unit is configured to: selecting, as an effective region, one of the plurality of regions in which the value of the first variable is largest,
the determination region determining unit is configured to: and taking the effective area as a judgment area.
6. The apparatus for judging whether a terminal is crimped according to claim 2,
the effective region selection unit is configured to: selecting, as the effective region, two or more regions in which the value of the first variable is large, from among the plurality of regions,
the determination region determining unit is configured to: the judgment area is determined using the two or more effective areas.
7. The apparatus for judging whether a terminal is crimped according to claim 2,
the effective region selection unit is configured to: selecting two or more regions as effective regions in the plurality of regions in at least the order of decreasing the value of the first variable or in the order of increasing the standard deviation of the area of the defective sample,
the determination region determining section includes:
a combination area generation unit that generates a combination area in which the weighted effective areas are combined, after weighting the selected effective areas; and
and a combined region determining unit configured to determine a determination region based on the combined region.
8. The apparatus for judging whether a terminal is crimped according to claim 2,
the effective region selection unit is configured to: selecting at least a first region having a first largest value of the first variable, a second region having a second largest value of the first variable, and a third region having a third largest value of the first variable as effective regions among the plurality of regions,
the determination region determining section includes:
a combined region generating unit that generates a plurality of combined regions including a combined region in which the first region and the second region are summed up, a combined region in which the first region and the third region are summed up, a combined region in which the second region and the third region are summed up, and a combined region in which the first region, the second region, and the third region are summed up; and
and a combined region determination unit configured to determine any one of the plurality of combined regions as a determination region based on an average value and a standard deviation of the region areas of the good product samples in the respective combined regions and an average value and a standard deviation of the region areas of the defective product samples in the respective combined regions.
9. A terminal crimping quality judgment device according to claim 8,
the determination region determining section has a combined region individual calculating section for calculating an average value [ mu ] of region areas of good product samples in the combined regionsOKStandard deviation sigma of area of good product sampleOKAverage value μ of area of defective sample regionNGAnd standard deviation sigma of area of defective sampleNG，
The combination area determination unit is configured to: when r and s are real numbers of 1 or more, μ is set to a value in the plurality of combination regions generated by the combination region generating unitNG＞μOKWhen B is ═ muNG-r×σNG)-(μOK+s×σOK) Or μOK＞μNGWhen B is ═ muOK-r×σOK)-(μNG+s×σNG) And a combination area with the maximum value of the second variable, the value of which is larger as the value of the second variable is larger, is used as the judgment area.
10. The apparatus for determining whether a terminal is crimped according to claim 9, wherein the second variable is μNG＞μOKDegree of separation [ (. mu.) ]NG-r×σNG)-(μOK+s×σOK)]/(μNG-μOK) Or μOK＞μNGDegree of separation [ (. mu.) ]OK-r×σOK)-(μNG+s×σNG)]/(μOK-μNG)。
11. A terminal crimping quality judging device according to claim 10, wherein r-s-3.
12. The apparatus for determining whether or not a terminal is crimped according to claim 8, wherein the combined area generating unit is configured to: weighting at least the first region, the second region, and the third region when generating the plurality of combined regions.
13. The apparatus for determining whether or not a terminal is crimped according to claim 7 or 12, wherein the combined region generating unit is configured to: the weighting is performed in such a manner that the smaller the standard deviation, the larger the weight.
14. The apparatus for determining whether or not a terminal is crimped according to claim 7 or 12, wherein the combined region generating unit is configured to: the weighting is performed such that the weight is larger as the degree of separation is larger.
15. A device for determining whether a terminal is crimped or not, comprising:
a pressure waveform acquisition unit that acquires a pressure waveform indicating a relationship between a degree of progress of terminal crimping by a terminal crimping device and a pressure generated in the terminal crimping device;
a region area calculation unit that divides the pressure waveform into a plurality of regions according to the degree of progress of terminal crimping, and calculates a region area, which is an area of a portion surrounded by the pressure waveform, for each region;
a determination region extraction unit that extracts a determination region using one or two or more regions included in the plurality of regions;
a threshold setting unit that sets a threshold based on an average value and a standard deviation of area areas of a plurality of good product samples in the determination area and an average value and a standard deviation of area areas of a plurality of defective product samples in the determination area; and
a determination unit that determines whether or not the terminal of the test product is crimped by comparing a region area in the determination region of the test product with the threshold value when the terminal of the test product is crimped by the terminal crimping device,
the judgment region extraction unit includes:
an effective region selection unit that selects one or two or more regions among the plurality of regions as effective regions in the order of decreasing standard deviation value of the area of the defective sample; and
and a determination region determination unit configured to determine the determination region using the effective region.
16. A device for determining whether a terminal is crimped or not, comprising:
a pressure waveform acquisition unit that acquires a pressure waveform indicating a relationship between a degree of progress of terminal crimping by a terminal crimping device and a pressure generated in the terminal crimping device;
a region area calculation unit that divides the pressure waveform into a plurality of regions according to the degree of progress of terminal crimping, and calculates a region area, which is an area of a portion surrounded by the pressure waveform, for each region;
a determination region extraction unit that extracts a determination region using one or two or more regions included in the plurality of regions;
a threshold setting unit that sets a threshold based on an average value and a standard deviation of area areas of a plurality of good product samples in the determination area and an average value and a standard deviation of area areas of a plurality of defective product samples in the determination area; and
a determination unit that determines whether or not the terminal of the test product is crimped by comparing a region area in the determination region of the test product with the threshold value when the terminal of the test product is crimped by the terminal crimping device,
the threshold setting unit includes:
a determination region calculation unit for calculating the average value μ d of the region areas of the good samples in the determination regionOKStandard deviation sigma d of area of good product sampleOKAverage value μ d of area of defective sample regionNGAnd standard deviation σ d of area of defective sample regionNG(ii) a And
a threshold value determination unit which determines μ d when p and q are real numbers of 1 or moreNG＞μdOKAnd (μ d)NG-p×σdNG)＞(μdOK+q×σdOK) Time (μ d)NG-p×σdNG) And (μ d)OK+q×σdOK) A specified value therebetween, or μ dOK＞μdNGAnd (μ d)OK-p×σdOK)＞(μNG+q×σdNG) Time (μ d)OK-p×σdOK) And (μ d)NG+q×σdNG) The predetermined value therebetween is determined as a threshold value.
17. The apparatus for judging whether or not a terminal is crimped according to claim 1, 15 or 16,
the terminal crimping device includes: an anvil on which an end of the wire and the terminal are placed; a crimper adapted to approach and move away from said anvil; and an electric actuator for moving the crimper toward and away from the anvil,
the degree of progress of crimping of the terminal is any one of an elapsed time, a position of the crimper, a moving distance of the crimper, a speed of the crimper, an acceleration of the crimper, a current supplied to the actuator, and an operation position of the actuator.
18. A method for judging whether a terminal is crimped or not comprises the following steps:
a step of performing terminal crimping of a plurality of good product samples and a plurality of defective product samples by a terminal crimping device, and acquiring a pressure waveform indicating a relationship between a degree of progress of the terminal crimping of each sample and a pressure generated in the terminal crimping device;
dividing the pressure waveform of each sample into a plurality of regions according to the degree of progress of terminal crimping, and calculating a region area, which is an area of a portion surrounded by the pressure waveform, for each region;
calculating an average value and a standard deviation of the area of the good product sample in each area, and an average value and a standard deviation of the area of the defective product sample in each area;
selecting one or more regions from the plurality of regions as effective regions based on an average value and a standard deviation of the area of the good samples and the area of the defective samples;
extracting a determination region using the effective region;
setting a threshold value based on an average value and a standard deviation of area areas of the good product samples and the defective product samples in the determination area; and
and a step of performing terminal crimping of an inspection product by the terminal crimping device, and comparing a region area in the determination region of the inspection product with the threshold value to determine whether the terminal crimping of the inspection product is good or bad.
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