CN103706700A - Punch with visual inspection function - Google Patents

Punch with visual inspection function Download PDF

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Publication number
CN103706700A
CN103706700A CN201310715683.4A CN201310715683A CN103706700A CN 103706700 A CN103706700 A CN 103706700A CN 201310715683 A CN201310715683 A CN 201310715683A CN 103706700 A CN103706700 A CN 103706700A
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Prior art keywords
punching
electrically connected
collecting device
vision
feeding mechanism
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CN201310715683.4A
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CN103706700B (en
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苏思妮
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Easy vision technology (Shenzhen) Co., Ltd.
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苏思妮
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Abstract

The invention relates to the technical field of punching equipment, in particular to a punch with a visual inspection function. The punch comprises a feeding mechanism, a punching device, an image collecting device and a feeding controller electrically connected with the feeding mechanism. The image collecting device is electrically connected with the feeding controller and is located above a coil stock on a discharge side of the punching device, and the coil stock is provided with a mark datum; the image collecting device shoots an image of the punched coil stock and transmits the image to the feeding controller, and the feeding controller extracts the mark datum and an X position of an actual punching position and calculates the position difference delta X between the mark datum and the actual punching position; the feeding mechanism adjusts feeding displacement L of each feeding process according to the position difference delta X. According to the punch, various errors generated in the punching process are eliminated accurately, machining accuracy of coil stock punching is greatly and effectively improved, the waste rate of the coil block is reduced, accumulative errors are avoided, deviation of punched patterns can also be reduced greatly, and the practicability is high.

Description

Stamping machine with vision-based detection
Technical field
The present invention relates to punch machining equipment for automotive technical field, refer in particular to a kind of stamping machine with vision-based detection.
Background technology
---printing---dry---punching press---moulding that in traditional tin graphed sheet goods field, technological process is: coating.
The base material that tin graphed sheet goods are used is tinplate or other metal sheets.Before printing, first to be coated with.Generally, the front of printing element need to be coated with and print, and inner face needs coating composition, to ensure that iron-printing product has the requirement of good decorative appearance.Printing is by offset press printed patterns on tinplate or other metal sheets, then in the relevant position of printed patterns, carries out punching processing, so that printed patterns is just positioned at the desired location of punching part.
But, coiled strip may be out of shape after punch process, when charging is crossed in punching press, may produce feed error, thereby cause printed patterns to be difficult to just be positioned at the desired location of punching part, although at present in punch process, above-mentioned error is in tolerance interval, but coiled strip adds man-hour, after Multi-step forming processing, above-mentioned error can build up, and after causing the some quantity of punching press, the potential difference of the desired location of the position of printed patterns and punching part exceeds error range, not only can increase coiled strip waste rate, punching press to rear operation brings problem: the pattern deviation of punching press also can produce a large amount of waste products, defect is obvious.
Summary of the invention
The technical problem to be solved in the present invention is to provide a kind of impact under the prerequisite of existing Sheet Metal Forming Technology, effectively prevents the stamping machine with vision-based detection of error and accumulation displacement error.
In order to solve the problems of the technologies described above, the present invention adopts following technical scheme: a kind of stamping machine with vision-based detection, comprise feeding mechanism, decompressor and image collecting device, also comprise the feed controller being electrically connected to feeding mechanism, described image collecting device is electrically connected to feed controller, image collector is setting in the coiled strip top of decompressor discharging one side, and coiled strip is provided with sign benchmark; Image collecting device photographs the coiled strip image after punching, and is sent to feed controller, is extracted the X position of sign benchmark and actual punching position by feed controller, and the potential difference Δ X between calculation flag benchmark and actual punching position;
The X position of X position-actual punching position of potential difference Δ X=sign benchmark;
Described feeding mechanism 1 is adjusted the charging displacement L of each charging according to potential difference Δ X, to reduce the absolute value of potential difference Δ X after next punching.
Wherein, after the adjustment of described feeding mechanism 1 through once, twice or three charging displacement L, the absolute value of described potential difference Δ X is decreased in the error range of designing requirement.
Preferably, the computing formula of described charging displacement L is:
Charging displacement L=basis displacement A+ potential difference Δ X * a+ FEEDFORWARD CONTROL amount F, wherein a is for adjusting coefficient.
Further, described a=1.
Wherein, described FEEDFORWARD CONTROL amount F is zero.
Wherein, described image collector is set to CCD sight surveymeter.
Preferably, described feed controller comprises PID controller and the Image Comparator being electrically connected to PID controller, and Image Comparator is electrically connected to described image collecting device, and PID controller is electrically connected to feeding mechanism.
Wherein, described sign benchmark is the pattern identical with blank shape being printed on coiled strip.
Another is preferred, and described feed controller comprises computer and image comparison module, and described image collecting device is electrically connected to computer, and this computer is electrically connected to feeding mechanism.
Wherein, also comprise display, this display is electrically connected to computer.
Beneficial effect of the present invention is: the invention provides a kind of stamping machine with vision-based detection, after image collecting device photographs the coiled strip image after punching, image information is sent to feed controller, the position in this hole after feed controller extracts respectively the position of bottle cap pattern in image and actual punching, and draw potential difference Δ X according to above-mentioned computing formula, described feeding mechanism is adjusted the charging displacement L of each charging according to potential difference Δ X, to eliminate the error producing in punching course last time, while making next punch process, the position of actual punching just matches with the position of bottle cap pattern, the various errors that produce in punching course have accurately been eliminated, greatly effectively improved the machining accuracy of coiled strip punching press, not only can reduce coiled strip waste rate, there is no accumulated error, the pattern deviation of punching press also can reduce greatly, practical.
Accompanying drawing explanation
Fig. 1 is the structural representation of the embodiment of the present invention one.
Fig. 2 is the structural representation that indicates benchmark and actual punching position in the present invention on coiled strip.
The specific embodiment
For the ease of those skilled in the art's understanding, below in conjunction with embodiment and accompanying drawing, the present invention is further illustrated, and the content that embodiment is mentioned not is limitation of the invention.
As depicted in figs. 1 and 2 for the embodiment mono-of a kind of stamping machine with vision-based detection of the present invention, comprise feeding mechanism 1, decompressor 2 and image collecting device 3, also comprise the feed controller being electrically connected to feeding mechanism 1, described image collecting device 3 is electrically connected to feed controller, image collecting device 3 is positioned at coiled strip 4 tops of decompressor 2 discharging one sides, and coiled strip 4 is provided with sign benchmark 5;
Image collecting device 3 photographs coiled strip 4 images after punching, and is sent to feed controller, is extracted the X position of sign benchmark 5 and actual punching position 6, and calculate the potential difference Δ X between this sign benchmark 5 and this actual punching position 6 by feed controller;
The X position of X position-actual punching position 6 of potential difference Δ X=sign benchmark 5;
Described feeding mechanism 1 is adjusted the charging displacement L of each charging according to potential difference Δ X, to reduce the absolute value of potential difference Δ X after next punching.
The single-row example that is stamped into beer bottle cap, on coiled strip 4, be printed with the pattern of beer bottle cap shape, coiled strip 4 after punching press is discharged from the right side of decompressor 2, now, after image collecting device 3 photographs coiled strip 4 images after punching, image information is sent to feed controller, the position in this hole after feed controller extracts respectively the position of bottle cap pattern in image and actual punching, and draw potential difference Δ X according to above-mentioned computing formula, described feeding mechanism 1 is adjusted the charging displacement L of each charging according to potential difference Δ X, to eliminate the error producing in punching course last time, after one or many adjustment, so that again during punch process, the position of actual punching just matches with the position of bottle cap pattern, can accurately eliminate the various errors that produce in punching course, greatly effectively improved the machining accuracy of coiled strip 4 punching presses, not only can reduce coiled strip 4 waste rates, there is no accumulated error, the pattern deviation of punching press also can reduce greatly, practical.
After the adjustment of preferred described feeding mechanism 1 through once, twice or three charging displacement L, the absolute value of described potential difference Δ X is decreased in the error range of designing requirement.When potential difference Δ, X is excessive, through once adjusting and be difficult to full remuneration potential difference Δ X, can progressively compensate at twice or three times, be applicable to the feeding mechanism 1 that adjustable range is less, thereby reduced the demand of the charging adjustment amount of feeding mechanism 1, reduced feeding mechanism 1 physical dimension, can be factory building and vacate more place.
In the present embodiment, described image collecting device 3 is CCD sight surveymeter, adopts existing CCD sight surveymeter, can effectively reduce the cost that the technical program is implemented.
In the present embodiment, described feed controller comprises computer 7 and image comparison module, and described image collecting device 3 is electrically connected to computer 7, and this computer 7 is electrically connected to feeding mechanism 1.
In the present embodiment, also comprise display 8, this display 8 is electrically connected to computer 7, with the image information that shows that image collecting device 3 is taken, and show the concrete data value of charging displacement L, basis displacement A and potential difference Δ X, can be used for operating personnel the feed position transposition joint information of feed controller is calibrated, the error producing while further reducing punching press.
In embodiment bis-, the computing formula of described charging displacement L is:
Charging displacement L=basis displacement A+ potential difference Δ X * a+ FEEDFORWARD CONTROL amount F
Wherein a is for adjusting coefficient, and FEEDFORWARD CONTROL amount F is identical with existing FEEDFORWARD CONTROL computational methods, the error producing for compensating other techniques, for example error of generation when the stroke of coiled strip 4 itself or printing.
When potential difference Δ X is excessive, at twice or three progressively compensation, take a=0.3333, potential difference Δ X=3mm is example, the charging displacement L that charging displacement L the provides displacement A+1mm that is as the criterion, and adjust in triplicate identical 1mm potential difference amount, can carry out normal potential difference adjustment according to charging displacement L=basis displacement A+ potential difference Δ X+ FEEDFORWARD CONTROL amount F more afterwards.
In embodiment tri-, described a=1, described FEEDFORWARD CONTROL amount F is zero, the computing formula of described charging displacement L is: charging displacement L=basis displacement A+ potential difference Δ X, be applicable to only need once to adjust to make the absolute value of potential difference Δ X reduce to zero feeding mechanism 1, and there is no the occasion of FEEDFORWARD CONTROL amount F.
Certainly, the solution of the present invention can also adopt another kind of embodiment, in embodiment tetra-(scheming not shown), described feed controller comprises PID controller and the Image Comparator being electrically connected to PID controller, Image Comparator is electrically connected to described image collecting device 3, PID controller is electrically connected to feeding mechanism 1, utilize Image Comparator to draw described potential difference Δ X, by PID controller, calculate charging displacement L again, equally also can realize adjust each charging charging displacement, reduce the technique effect of punching precision error, practicality is stronger.
Above-described embodiment is preferably implementation of the present invention, and in addition, the present invention can also realize by alternate manner, and under the prerequisite that does not depart from the technical program design, any apparent replacement is all within protection scope of the present invention.

Claims (10)

1. with the stamping machine of vision-based detection, comprise feeding mechanism (1), decompressor (2) and image collecting device (3), it is characterized in that: also comprise the feed controller being electrically connected to feeding mechanism (1), described image collecting device (3) is electrically connected to feed controller, image collecting device (3) is positioned at coiled strip (4) top of decompressor (2) discharging one side, and coiled strip (4) is provided with sign benchmark (5);
Image collecting device (3) photographs coiled strip (4) image after punching, and be sent to feed controller, by feed controller, extracted the X position of sign benchmark (5) and actual punching position (6), and calculate the potential difference Δ X between this sign benchmark (5) and this actual punching position (6);
The X position of X position-actual punching position (6) of potential difference Δ X=sign benchmark (5);
Described feeding mechanism (1) is adjusted the charging displacement L of each charging according to potential difference Δ X, to reduce the absolute value of potential difference Δ X after next punching.
2. the stamping machine with vision-based detection according to claim 1, is characterized in that: after the adjustment of described feeding mechanism (1) through once, twice or three charging displacement L, the absolute value of described potential difference Δ X is decreased in the error range of designing requirement.
3. the stamping machine with vision-based detection according to claim 1, is characterized in that: the computing formula of described charging displacement L is:
Charging displacement L=basis displacement A+ potential difference Δ X * a+ FEEDFORWARD CONTROL amount F;
Wherein a is for adjusting coefficient.
4. the stamping machine with vision-based detection according to claim 3, is characterized in that: described a=1.
5. the stamping machine with vision-based detection according to claim 3, is characterized in that: described FEEDFORWARD CONTROL amount F is zero.
6. the stamping machine with vision-based detection according to claim 1, is characterized in that: described image collecting device (3) is CCD sight surveymeter.
7. the stamping machine with vision-based detection according to claim 1, it is characterized in that: described feed controller comprises PID controller and the Image Comparator being electrically connected to PID controller, Image Comparator is electrically connected to described image collecting device (3), and PID controller is electrically connected to feeding mechanism (1).
8. the stamping machine with vision-based detection according to claim 1, is characterized in that: described sign benchmark (5) is for being printed in the pattern identical with blank shape on coiled strip (4).
9. the stamping machine with vision-based detection according to claim 1, it is characterized in that: described feed controller comprises computer (7) and image comparison module, described image collecting device (3) is electrically connected to computer (7), and this computer (7) is electrically connected to feeding mechanism (1).
10. the stamping machine with vision-based detection according to claim 9, is characterized in that: also comprise display (8), this display (8) is electrically connected to computer (7).
CN201310715683.4A 2013-12-23 2013-12-23 With the stamping machine of vision-based detection Active CN103706700B (en)

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Cited By (9)

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Publication number Priority date Publication date Assignee Title
CN105171411A (en) * 2015-09-02 2015-12-23 东莞品一自动化科技有限公司 Automatic assembling machine based on advanced telecom computing architecture (ATCA) manipulator application
CN105478581A (en) * 2016-02-23 2016-04-13 天津市天锻压力机有限公司 Automatic creeper tread stamping production line based on high-speed press and stamping method
CN105955201A (en) * 2016-04-27 2016-09-21 武汉理工大学 Hydraulic servo positioning control method and system for fine blanking machine
CN106623493A (en) * 2016-12-31 2017-05-10 湖南文理学院 Detection method for continuous punching of steel band
CN107321867A (en) * 2017-06-07 2017-11-07 嘉兴宝程自动化设备有限公司 Full-automatic intelligent punch press feeder and its method for correcting error that camera tilt is installed
CN109226340A (en) * 2018-10-18 2019-01-18 广州广日电气设备有限公司 The system of processing of linear strip grating scale
CN110722018A (en) * 2019-10-21 2020-01-24 广东正业科技股份有限公司 Precision correction method and device
CN111151592A (en) * 2020-01-19 2020-05-15 江门市德泓装备技术有限公司 Error detection and adjustment method based on PCI-E pin punch forming equipment
CN115903652A (en) * 2022-11-09 2023-04-04 苏州富邦机械链传动制造有限公司 Alignment punching method and system for part machining

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Cited By (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105171411A (en) * 2015-09-02 2015-12-23 东莞品一自动化科技有限公司 Automatic assembling machine based on advanced telecom computing architecture (ATCA) manipulator application
CN105478581A (en) * 2016-02-23 2016-04-13 天津市天锻压力机有限公司 Automatic creeper tread stamping production line based on high-speed press and stamping method
CN105955201A (en) * 2016-04-27 2016-09-21 武汉理工大学 Hydraulic servo positioning control method and system for fine blanking machine
CN106623493A (en) * 2016-12-31 2017-05-10 湖南文理学院 Detection method for continuous punching of steel band
CN106623493B (en) * 2016-12-31 2018-08-28 湖南文理学院 A kind of detection method of steel band punching Continuous maching
CN107321867A (en) * 2017-06-07 2017-11-07 嘉兴宝程自动化设备有限公司 Full-automatic intelligent punch press feeder and its method for correcting error that camera tilt is installed
CN109226340A (en) * 2018-10-18 2019-01-18 广州广日电气设备有限公司 The system of processing of linear strip grating scale
CN110722018A (en) * 2019-10-21 2020-01-24 广东正业科技股份有限公司 Precision correction method and device
CN111151592A (en) * 2020-01-19 2020-05-15 江门市德泓装备技术有限公司 Error detection and adjustment method based on PCI-E pin punch forming equipment
CN115903652A (en) * 2022-11-09 2023-04-04 苏州富邦机械链传动制造有限公司 Alignment punching method and system for part machining
CN115903652B (en) * 2022-11-09 2023-10-27 苏州富邦机械链传动制造有限公司 Alignment punching method and system for part machining

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Inventor after: Shi Xi

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Patentee before: Su Sini