CN111077218A - Method and device for detecting axle with paint - Google Patents
Method and device for detecting axle with paint Download PDFInfo
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- CN111077218A CN111077218A CN201911304924.XA CN201911304924A CN111077218A CN 111077218 A CN111077218 A CN 111077218A CN 201911304924 A CN201911304924 A CN 201911304924A CN 111077218 A CN111077218 A CN 111077218A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N29/00—Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object
- G01N29/04—Analysing solids
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B17/00—Measuring arrangements characterised by the use of infrasonic, sonic or ultrasonic vibrations
- G01B17/02—Measuring arrangements characterised by the use of infrasonic, sonic or ultrasonic vibrations for measuring thickness
- G01B17/025—Measuring arrangements characterised by the use of infrasonic, sonic or ultrasonic vibrations for measuring thickness for measuring thickness of coating
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
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- G01N2291/02—Indexing codes associated with the analysed material
- G01N2291/028—Material parameters
- G01N2291/0289—Internal structure, e.g. defects, grain size, texture
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2291/00—Indexing codes associated with group G01N29/00
- G01N2291/26—Scanned objects
- G01N2291/269—Various geometry objects
- G01N2291/2696—Wheels, Gears, Bearings
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Abstract
The embodiment of the invention provides a method and a device for detecting an axle with paint, wherein the method comprises the following steps: carrying out phased array detection on the shaft end of the painted axle; obtaining the paint thickness of the axle body of the axle with the paint, and determining a corrected value according to the paint thickness; and carrying out transverse wave detection on the shaft body according to the corrected value. The device performs the above method. According to the detection method and device for the axle with the paint, provided by the embodiment of the invention, the detection result of the transverse wave detection is corrected through the paint thickness, so that the universality of the technical scheme can be improved, and the detection precision can be improved.
Description
Technical Field
The invention relates to the technical field of vehicle detection, in particular to a method and a device for detecting an axle with paint.
Background
Along with the development of railway transportation in the direction of high speed and heavy load and the prolongation of locomotive section kilometer repair, higher requirements are put forward on the quality of locomotive axles. The axle is one of the key parts of the locomotive, and has complex stress and bad working conditions. The quality of the locomotive is crucial to ensuring the safe operation of the locomotive, and once an accident is caused, the locomotive is often disastrous. Therefore, it is very important to detect the fatigue area of the axle of the locomotive.
In the prior art, a vertical flaw detection method is adopted to detect the axle, namely, a longitudinal wave straight probe is adopted to detect flaws, and the frequency of the probe is 2 MHz. The method is that a longitudinal wave straight probe is placed on the axle end of the vehicle, the whole axle is scanned in the axial direction, and fatigue cracks of the axle generally run to be perpendicular to the axial central line of the axle, so that the fatigue cracks are close to perpendicular to ultrasonic sound beams emitted by the probe, the reflection energy of the cracks is larger, and reflected waves are easily formed and received by the probe. The flaw detection method is suitable for axles with simple structures and small changes of geometric dimensions, but for axles with more steps, cracks with shallow depths are easy to miss detection due to too large blind areas, so that the flaw detection method has strong application limitations and low detection precision.
Disclosure of Invention
Aiming at the problems in the prior art, the embodiment of the invention provides a method and a device for detecting an axle with paint.
The embodiment of the invention provides a detection method of an axle with paint, which comprises the following steps:
carrying out phased array detection on the shaft end of the painted axle;
obtaining the paint thickness of the axle body of the axle with the paint, and determining a corrected value according to the paint thickness;
and carrying out transverse wave detection on the shaft body according to the corrected value.
Wherein said determining a correction value based on said paint thickness comprises:
determining a correction value corresponding to the paint thickness according to a preset relation; and the preset relation comprises a corresponding relation between the preset paint thickness and the preset correction value.
Wherein the correction value comprises a correction direction and correction values respectively corresponding to the correction direction; correspondingly, the detecting the transverse wave of the axle body according to the corrected value comprises the following steps:
determining to perform positive correction or negative correction on a detection result of transverse wave detection according to the correction direction;
and correcting the detection result of the transverse wave detection according to the positive correction value or the negative correction value respectively corresponding to the positive correction or the negative correction in the preset relation.
Wherein, the obtaining of the preset relationship comprises:
acquiring all preset correction intervals corresponding to all preset correction values, and determining preset inflection points in all the preset correction intervals; the correction value of the preset inflection point is a negative number;
determining the paint thickness of a preset inflection point corresponding to the preset inflection point; the preset correction value is gradually increased along the direction of the numerical value reduction of the paint thickness at the preset inflection point; and along the numerical value increasing direction of the paint thickness of the preset inflection point, the preset correction value is gradually increased.
And the preset inflection point is a preset correction value corresponding to the preset paint thickness of 200 mu m.
Wherein, the axle head of taking the paint axletree carries out phased array and detects, includes:
setting a first detection parameter for phased array detection;
carrying out phased array detection on the shaft end according to the first detection parameter;
wherein, the setting of the first detection parameter for phased array detection comprises:
setting detection frequency according to the requirements of detection sound path and detection sensitivity; setting the number and the angle of the excitation array elements according to the coverage of the detection area; a first pulse repetition frequency is set according to the detection speed.
Wherein, the step of shear wave detection specifically includes:
setting a second detection parameter for transverse wave detection;
carrying out transverse wave detection on the shaft body according to the second detection parameter;
wherein, the setting of the second detection parameter for transverse wave detection includes:
setting a second pulse repetition frequency according to the scanning speed; and setting the emission intensity according to the requirements of the acoustic path and the resolution.
The embodiment of the invention provides a detection device with a paint axle, which comprises:
the detection unit is used for carrying out phased array detection on the shaft end of the painted axle;
the determining unit is used for acquiring the paint thickness of the axle body of the paint axle and determining a correction value according to the paint thickness;
and the correction unit is used for detecting the transverse wave of the shaft body according to the correction value.
An embodiment of the present invention provides an electronic device, including: a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein,
the processor, when executing the program, implements the method steps of:
carrying out phased array detection on the shaft end of the painted axle;
obtaining the paint thickness of the axle body of the axle with the paint, and determining a corrected value according to the paint thickness;
and carrying out transverse wave detection on the shaft body according to the corrected value.
An embodiment of the invention provides a non-transitory computer readable storage medium having a computer program stored thereon, which when executed by a processor implements the following method steps:
carrying out phased array detection on the shaft end of the painted axle;
obtaining the paint thickness of the axle body of the axle with the paint, and determining a corrected value according to the paint thickness;
and carrying out transverse wave detection on the shaft body according to the corrected value.
According to the detection method and device for the axle with the paint, provided by the embodiment of the invention, the detection result of the transverse wave detection is corrected through the paint thickness, so that the universality of the technical scheme can be improved, and the detection precision can be improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and those skilled in the art can also obtain other drawings according to the drawings without creative efforts.
FIG. 1 is a flow chart of an embodiment of a method of inspecting a painted axle according to the present invention;
FIG. 2 is a schematic structural view of an embodiment of the detection device for the axle with paint according to the present invention;
fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Fig. 1 is a flowchart of an embodiment of a method for detecting an axle with paint according to the present invention, and as shown in fig. 1, the method for detecting an axle with paint according to the embodiment of the present invention includes the following steps:
s101: and carrying out phased array detection on the shaft end of the painted axle.
Specifically, phased array detection is performed on the shaft end of the painted axle. The method steps may be performed by a paint axle inspection system, i.e., may be the electronic device performing the inspection. The step may specifically include:
setting a first detection parameter for phased array detection; and carrying out phased array detection on the shaft end according to the first detection parameter. The setting of the first detection parameter for phased array detection may specifically include: setting a first system parameter, setting a first detection range, setting a first sensitivity and measuring a blind area. The first system parameter setting, the first detection range setting, and the first sensitivity setting are all associated with the axle end phased array detection of the axle with paint.
The setting of the first system parameter may specifically include:
setting detection frequency according to the requirements of detection sound path and detection sensitivity; setting the number and the angle of the excitation array elements according to the coverage of the detection area; a first pulse repetition frequency is set according to the detection speed. Namely, the detection frequency is set according to the detection sound path and the detection sensitivity requirement of the ultrasonic wave transmitted by the phased array probe. The requirements of detection sound path, detection sensitivity, detection area coverage and detection speed can be set independently according to actual conditions. Prf (pulse repetition frequency), the number of pulses transmitted per second, is the inverse of the Pulse Repetition Interval (PRI). The pulse repetition interval is the time interval between one pulse and the next. The detection frequency can be set to be 5MHz, the number of excitation array elements can be set to be 16, the angle range is set to be (7-20) °, and the first pulse repetition frequency can be set to be 1000 Hz.
The first detection range setting, the first sensitivity setting, may include: a first detection range is set according to a detection sound path by using an axle sample containing a specific artificial defect, and a first sensitivity is set according to the specific artificial defect at a specific position. The specific artificial defect and the specific position can be selected according to actual conditions. The first detection range can be set to be (0-700) mm, and the first sensitivity can be set to be 1mm depth equal chord length type notch groove-3 mm depth equal chord length type notch groove.
The blind zone determination may include:
and determining the size of the blind area according to the detection result of the specific artificial defect at the specific position. The dead zone can be determined to be equal chord length type notches with the depth of less than 5mm in 10mm near the outer edge of the wheel seat according to the detection condition of artificial defects near each near-end circular arc.
Performing phased array detection on the shaft end according to the first detection parameter may include:
and (3) carrying out surface compensation on the basic states (including the material and the roughness of the surface of the workpiece) of the sample and the actual workpiece according to the set first detection parameters, wherein the surface compensation can be (0-4) dB, carrying out 360-degree scanning on the shaft end phased array, and paying attention to the signal and image states in the detection process.
The method can also comprise the following steps: and (3) grading and recording the defects of the axle phased array detection result: the detection result is graded and recorded through a specific acceptance criterion, the detection result can be recorded as an electronic file and a paper file, and the specific acceptance criterion can be set independently according to actual conditions.
The detection report for issuing the axle phased array detection result can be specifically a paper file detection report.
In the process of carrying out phased array detection on the shaft end of the painted axle, the method can further comprise the following steps:
installing a phased array probe, dismantling the detected axle end part with the paint axle, cleaning a scanning area, recovering the installation of the axle end part and the like.
The phased array probe mount may include:
and coating a layer of coupling agent on the end face of the shaft end, and adsorbing the phased array probe on the end face of the shaft end through magnetic force.
The axle end piece removal of the inspected painted axle may include:
the electric part is decomposed, the axle box front cover is decomposed, and if the electric part does not influence the decomposition of the axle box front cover, the decomposition of the electric part can be avoided.
The cleaning and cleaning of the scanning area can comprise the following steps:
and removing scrap iron, burrs and other impurities in the scanning area, which interfere with scanning execution and signal and image evaluation.
The shaft end piece installation restoration may include:
the shaft end gland is recovered to be assembled, the shaft end front cover is recovered to be assembled, and the electric part is recovered to be assembled; if the electrical component is not disassembled, the electrical component can not be assembled again.
S102: and acquiring the paint thickness of the axle body of the paint axle, and determining a correction value according to the paint thickness.
Specifically, the paint thickness of the axle body with the paint axle is obtained, and the correction value is determined according to the paint thickness. The determining a correction value based on the paint thickness may include:
determining a correction value corresponding to the paint thickness according to a preset relation; and the preset relation comprises a corresponding relation between the preset paint thickness and the preset correction value. Specific description may refer to table 1.
TABLE 1
Referring to Table 1, the correction of dB value can be performed according to the thickness of the paint layer, when the paint layer is 100 μm, (-4 to-5) dB, when the paint layer is 200 μm, (-8 to-10) dB, when the paint layer is 300 μm, (-3 to +2) dB, when the paint layer is 400 μm, (-1 to +5) dB, when the paint layer is 500 μm, (+1 to +3) dB, when the paint layer is (600 to 800) μm, (+4 to +9) dB, when the paint layer is (900 to 1000) μm, (+5 to +12) dB.
S103: and carrying out transverse wave detection on the shaft body according to the corrected value.
Specifically, the transverse wave detection is carried out on the shaft body according to the corrected value. That is, the above-described preset relationship can be represented by table 1. The eddy current thickness gauge can be used for sampling and detecting a scanned area, at least 10 uniformly distributed positions can be selected, the arithmetic mean value of the paint thicknesses of the 10 positions is calculated, a correction value corresponding to the arithmetic mean value is determined according to a preset relation, and the detection result of the transverse wave detection is corrected according to the correction value. For example,
the paint layer thicknesses were measured at 312 μm, 273 μm, 285 μm, 302 μm, 276 μm, 336 μm, 295 μm, 277 μm, 290 μm and 289 μm, respectively, and the arithmetic mean of the final thicknesses was 293.5mm (about 300 μm).
And correcting the dB value according to the thickness of the paint layer, wherein when the thickness of the paint layer is 300 mu m, the corrected value is (-3 to +2) dB.
Further, the correction values include correction directions and correction values corresponding to the correction directions respectively; correspondingly, the detecting the transverse wave of the axle body according to the corrected value comprises the following steps:
determining to perform positive correction or negative correction on a detection result of transverse wave detection according to the correction direction; and correcting the detection result of the transverse wave detection according to the positive correction value or the negative correction value respectively corresponding to the positive correction or the negative correction in the preset relation. Referring to table 1 above, for example, when the thickness of the paint layer is 200 μm, it is determined that the correction direction of the correction value corresponding thereto is negative correction, and the negative correction value is-8 dB to-10 dB, that is, the detection result of the shear wave detection is corrected based on-8 dB to-10 dB. For the forward correction, the description is omitted.
The obtaining of the preset relationship may include:
acquiring all preset correction intervals corresponding to all preset correction values, and determining preset inflection points in all the preset correction intervals; the correction value of the preset inflection point is a negative number; referring to the above table 1, all the preset correction intervals are-4 dB to-5 dB …. +5dB to +12 dB. The preset inflection point in table 1 can be determined to be-8 dB to-10 dB.
Determining the paint thickness of a preset inflection point corresponding to the preset inflection point; the preset correction value is gradually increased along the direction of the numerical value reduction of the paint thickness at the preset inflection point; and along the numerical value increasing direction of the paint thickness of the preset inflection point, the preset correction value is gradually increased. Referring to the table 1, the thickness of the paint at the preset inflection point corresponding to-8 dB to-10 dB is 200 μm, and the preset correction value is gradually increased to-4 dB along the direction of decreasing the thickness of the paint at the preset inflection point. Along the increasing direction of the numerical value of the paint thickness of the preset inflection point, the preset correction value is gradually increased to +12 dB.
The step of detecting the transverse wave specifically comprises the following steps: setting a second detection parameter for transverse wave detection; and carrying out transverse wave detection on the shaft body according to the second detection parameter. Wherein, set up the second detection parameter who carries out shear wave detection, specifically include:
and setting a second system parameter, a second detection range and a second sensitivity. The setting of the second system parameter, the setting of the second detection range, and the setting of the second sensitivity are all associated with the detection of the transverse wave of the axle body of the paint axle.
The method can also comprise the selection of a transverse wave probe, and specifically comprises the following steps:
the detection frequency, the wafer size and the refraction angle are selected according to the detection area and the sound path of the ultrasonic wave emitted by the transverse wave probe. The detection frequency may be 2.5MHz, the wafer size may be 13mm x 13mm, and the refraction angle K may have values of K0.7 and K1.1.
The setting of the second system parameter may include: and setting a second pulse repetition frequency according to the scanning speed, and setting the emission intensity according to the requirements of the sound path and the resolution. The scanning speed, the sound path requirement and the resolution requirement can be set independently according to the actual situation.
The second detection range and the second sensitivity setting may include:
and setting a second detection range according to the axle detection blind area by using the axle sample containing the specific artificial defect, and setting a second sensitivity according to the specific artificial defect at the specific position. The specific artificial defect and the specific position can be set independently according to actual conditions.
The detecting the transverse wave of the axle body according to the second detection parameter may include:
and (3) performing surface compensation according to the second detection parameter, the sample and the basic state of the actual workpiece (including the material and the roughness of the surface of the workpiece) to obtain (0-4) dB, performing transverse wave detection on the shaft body, and paying attention to the signal state in the detection process.
The method can also comprise the following steps: evaluating and recording the defect of the detection result of the transverse wave detection, which can specifically comprise:
and grading and recording the detection result of the transverse wave detection through a specific acceptance criterion, wherein the record can be an electronic file and a paper file. The specific acceptance criterion can be set autonomously according to actual conditions.
The detection report of the transverse wave detection result can be specifically a paper file.
In the process of detecting the transverse wave of the shaft body, the method further comprises the following steps:
the cleaning of the scanned area specifically can include:
and removing scrap iron, burrs and other impurities in the scanning area, which interfere with scanning execution and signal and image evaluation.
After the scheme is adopted, the end scanning of the in-service defects of various types of solid axles can be realized. The scheme can effectively improve the detection range and effect of the in-service ultrasonic detection of the solid axle.
According to the detection method of the axle with the paint, provided by the embodiment of the invention, the detection result of the transverse wave detection is corrected through the paint thickness, so that the universality of the technical scheme can be improved, and the detection precision can be improved.
On the basis of the above embodiment, the determining the correction value according to the paint thickness includes:
specifically, a correction value corresponding to the paint thickness is determined according to a preset relation; the preset relation comprises a corresponding relation between a preset paint thickness and a preset correction value; reference is made to the above description and no further description is made.
According to the detection method for the axle with the paint, provided by the embodiment of the invention, the correction value is determined through the preset relation, so that the detection precision can be further improved.
On the basis of the above embodiment, the correction values include correction directions and correction values corresponding thereto, respectively; correspondingly, the detecting the transverse wave of the axle body according to the corrected value comprises the following steps:
specifically, determining to perform positive correction or negative correction on a detection result of the transverse wave detection according to the correction direction; and correcting the detection result of the transverse wave detection according to the positive correction value or the negative correction value respectively corresponding to the positive correction or the negative correction in the preset relation. Reference is made to the above description and no further description is made.
The detection method for the axle with the paint provided by the embodiment of the invention can further improve the detection precision.
On the basis of the above embodiment, the obtaining of the preset relationship includes:
specifically, all preset correction intervals corresponding to all preset correction values are obtained, and preset inflection points in all the preset correction intervals are determined; the correction value of the preset inflection point is a negative number; determining the paint thickness of a preset inflection point corresponding to the preset inflection point; the preset correction value is gradually increased along the direction of the numerical value reduction of the paint thickness at the preset inflection point; and along the numerical value increasing direction of the paint thickness of the preset inflection point, the preset correction value is gradually increased. Reference is made to the above description and no further description is made.
The detection method for the axle with the paint provided by the embodiment of the invention can further correct the accuracy, so that the detection precision is improved.
On the basis of the above embodiment, specifically, the preset inflection point is a preset correction value corresponding to a preset paint thickness of 200 μm. Reference is made to the above description and no further description is made.
The detection method for the axle with the paint provided by the embodiment of the invention can further correct the accuracy, so that the detection precision is improved.
On the basis of the above embodiment, the phased array detection of the axle end of the painted axle includes:
specifically, a first detection parameter for phased array detection is set; carrying out phased array detection on the shaft end according to the first detection parameter; wherein, the setting of the first detection parameter for phased array detection comprises:
setting detection frequency according to the requirements of detection sound path and detection sensitivity; setting the number and the angle of the excitation array elements according to the coverage of the detection area; a first pulse repetition frequency is set according to the detection speed. Reference is made to the above description and no further description is made.
The detection method for the axle with the paint provided by the embodiment of the invention can further improve the detection precision of the phased array detection result.
On the basis of the above embodiment, the step of detecting the transverse wave specifically includes:
specifically, a second detection parameter for transverse wave detection is set; carrying out transverse wave detection on the shaft body according to the second detection parameter; wherein, the setting of the second detection parameter for transverse wave detection includes: setting a second pulse repetition frequency according to the scanning speed; and setting the emission intensity according to the requirements of the acoustic path and the resolution. Reference is made to the above description and no further description is made.
The detection method for the axle with the paint provided by the embodiment of the invention can further improve the detection precision of the transverse wave detection result.
Fig. 2 is a schematic structural diagram of an embodiment of the detection apparatus for a painted axle according to the present invention, and as shown in fig. 2, an embodiment of the present invention provides a detection apparatus for a painted axle, which includes a detection unit 201, a determination unit 202, and a correction unit 203, where:
the detection unit 201 is used for performing phased array detection on the shaft end of the painted axle; the determining unit 202 is used for acquiring the paint thickness of the axle body of the paint axle and determining a correction value according to the paint thickness; the correction unit 203 is configured to perform transverse wave detection on the axle body according to the correction value.
Specifically, the detection unit 201 is used for performing phased array detection on the shaft end of the painted axle; the determining unit 202 is used for acquiring the paint thickness of the axle body of the paint axle and determining a correction value according to the paint thickness; the correction unit 203 is configured to perform transverse wave detection on the axle body according to the correction value.
According to the detection device with the paint axle, provided by the embodiment of the invention, the detection result of the transverse wave detection is corrected through the paint thickness, so that the universality of the technical scheme can be improved, and the detection precision can be improved.
The detection device with paint axle provided by the embodiment of the present invention can be specifically used for executing the processing flow of each method embodiment, and the functions thereof are not described herein again, and reference can be made to the detailed description of the method embodiments.
Fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present invention, and as shown in fig. 3, the electronic device includes: a processor (processor)301, a memory (memory)302, and a bus 303;
the processor 301 and the memory 302 complete communication with each other through a bus 303;
the processor 301 is configured to call program instructions in the memory 302 to perform the methods provided by the above-mentioned method embodiments, including: carrying out phased array detection on the shaft end of the painted axle; obtaining the paint thickness of the axle body of the axle with the paint, and determining a corrected value according to the paint thickness; and carrying out transverse wave detection on the shaft body according to the corrected value.
The present embodiment discloses a computer program product comprising a computer program stored on a non-transitory computer readable storage medium, the computer program comprising program instructions which, when executed by a computer, enable the computer to perform the method provided by the above-mentioned method embodiments, for example, comprising: carrying out phased array detection on the shaft end of the painted axle; obtaining the paint thickness of the axle body of the axle with the paint, and determining a corrected value according to the paint thickness; and carrying out transverse wave detection on the shaft body according to the corrected value.
The present embodiments provide a non-transitory computer-readable storage medium storing computer instructions that cause the computer to perform the methods provided by the above method embodiments, for example, including: carrying out phased array detection on the shaft end of the painted axle; obtaining the paint thickness of the axle body of the axle with the paint, and determining a corrected value according to the paint thickness; and carrying out transverse wave detection on the shaft body according to the corrected value.
Those of ordinary skill in the art will understand that: all or part of the steps for implementing the method embodiments may be implemented by hardware related to program instructions, and the program may be stored in a computer readable storage medium, and when executed, the program performs the steps including the method embodiments; and the aforementioned storage medium includes: various media that can store program codes, such as ROM, RAM, magnetic or optical disks.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. A method for detecting a painted axle is characterized by comprising the following steps:
carrying out phased array detection on the shaft end of the painted axle;
obtaining the paint thickness of the axle body of the axle with the paint, and determining a corrected value according to the paint thickness;
and carrying out transverse wave detection on the shaft body according to the corrected value.
2. The method of inspecting a painted axle of claim 1 in which determining the correction value based on the paint thickness includes:
determining a correction value corresponding to the paint thickness according to a preset relation; and the preset relation comprises a corresponding relation between the preset paint thickness and the preset correction value.
3. The method of inspecting a painted axle according to claim 2, wherein the correction values include a correction direction and correction values corresponding thereto, respectively; correspondingly, the detecting the transverse wave of the axle body according to the corrected value comprises the following steps:
determining to perform positive correction or negative correction on a detection result of transverse wave detection according to the correction direction;
and correcting the detection result of the transverse wave detection according to the positive correction value or the negative correction value respectively corresponding to the positive correction or the negative correction in the preset relation.
4. The method for inspecting a painted axle according to claim 2, wherein the obtaining of the predetermined relationship comprises:
acquiring all preset correction intervals corresponding to all preset correction values, and determining preset inflection points in all the preset correction intervals; the correction value of the preset inflection point is a negative number;
determining the paint thickness of a preset inflection point corresponding to the preset inflection point; the preset correction value is gradually increased along the direction of the numerical value reduction of the paint thickness at the preset inflection point; and along the numerical value increasing direction of the paint thickness of the preset inflection point, the preset correction value is gradually increased.
5. The method according to claim 4, wherein the predetermined inflection point is a predetermined correction value corresponding to a predetermined paint thickness of 200 μm.
6. The method of inspecting a painted axle according to any one of claims 1 to 5, wherein the phased array inspection of the painted axle end comprises:
setting a first detection parameter for phased array detection;
carrying out phased array detection on the shaft end according to the first detection parameter;
wherein, the setting of the first detection parameter for phased array detection comprises:
setting detection frequency according to the requirements of detection sound path and detection sensitivity; setting the number and the angle of the excitation array elements according to the coverage of the detection area; a first pulse repetition frequency is set according to the detection speed.
7. The method for inspecting a painted axle according to any one of claims 1 to 5, wherein the step of detecting transverse waves comprises:
setting a second detection parameter for transverse wave detection;
carrying out transverse wave detection on the shaft body according to the second detection parameter;
wherein, the setting of the second detection parameter for transverse wave detection includes:
setting a second pulse repetition frequency according to the scanning speed; and setting the emission intensity according to the requirements of the acoustic path and the resolution.
8. The utility model provides a take detection device of paint axletree which characterized in that includes:
the detection unit is used for carrying out phased array detection on the shaft end of the painted axle;
the determining unit is used for acquiring the paint thickness of the axle body of the paint axle and determining a correction value according to the paint thickness;
and the correction unit is used for detecting the transverse wave of the shaft body according to the correction value.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the steps of the method according to any of claims 1 to 7 are implemented when the processor executes the program.
10. A non-transitory computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 7.
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| CN201911304924.XA CN111077218A (en) | 2019-12-17 | 2019-12-17 | Method and device for detecting axle with paint |
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