CN111060529A - Defect detection equipment and method for hydrogen fuel cell chip - Google Patents
Defect detection equipment and method for hydrogen fuel cell chip Download PDFInfo
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- CN111060529A CN111060529A CN201911094614.XA CN201911094614A CN111060529A CN 111060529 A CN111060529 A CN 111060529A CN 201911094614 A CN201911094614 A CN 201911094614A CN 111060529 A CN111060529 A CN 111060529A
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Abstract
The invention provides a special detection device and a detection method for detecting the defects of the hydrogen fuel cell chip, and the vacuum suction platform can positively suck the cell chip so as to facilitate subsequent image acquisition and reduce detection errors. The turnover mechanism can turn over the battery chip, so that the defects of the front side and the back side of the battery chip can be detected. The battery chip is scanned by adopting the image acquisition device, and then the image information is compared with the image information without defects, so that the defect condition of the battery chip can be detected; moreover, the judgment standards are consistent, the stability of the detection result is good, and the error is small.
Description
Technical Field
The invention belongs to the technical field of hydrogen fuel cell production, and particularly relates to a defect detection device and method for a hydrogen fuel cell chip.
Background
The fuel cell is a new power supply with development prospect, and generally takes hydrogen, carbon, methanol, borohydride, coal gas or natural gas as fuel, as a cathode, and takes oxygen in the air as an anode. It is mainly different from a general battery in that an active material of the general battery is previously put inside the battery, and thus the battery capacity depends on the amount of the active material stored; the active materials (fuel and oxidant) of the fuel cell are continuously supplied while reacting, and therefore, such a cell is actually only an energy conversion device. The battery has the advantages of high conversion efficiency, large capacity, high specific energy, wide power range, no need of charging and the like.
Fuel Cell Chips (CCMs) are catalyst/proton exchange membrane modules prepared by coating fuel cell catalysts on both sides of a proton exchange membrane.
The fuel cell chip is the main material for making Membrane Electrode Assembly (MEA), and before making MEA, it is necessary to perform relevant detection on its own quality condition to avoid affecting the quality of fuel cell due to the defects of the fuel cell chip.
For this reason, it is necessary to develop an apparatus for defect detection of a fuel cell chip and a related detection method.
Disclosure of Invention
The invention aims to provide a device and a method for detecting whether a hydrogen fuel cell chip has defects.
The invention is realized in this way, a defect detection device of a hydrogen fuel cell chip, which comprises an X-axis moving module, a first Y-axis moving module, a second Y-axis moving module, a first moving platform, a second moving platform, a first vacuum absorbing platform for absorbing the cell chip, a turnover mechanism, a second vacuum absorbing platform for absorbing the cell chip, a first image acquisition device, a second image acquisition device, a controller and a processor;
the X-axis moving module is arranged above the first Y-axis moving module and the second Y-axis moving module, the first image acquisition device and the second image acquisition device are both arranged on the X-axis moving module, and the X-axis moving module can drive the first image acquisition device and the second image acquisition device to reciprocate along the X-axis direction;
the first moving platform is arranged on the first Y-axis moving module, and the first Y-axis moving module can drive the first moving platform to reciprocate along the Y-axis direction; the second moving platform is arranged on the second Y-axis moving module, and the second Y-axis moving module can drive the second moving platform to reciprocate along the Y-axis direction; the first vacuum suction platform and the turnover mechanism are both arranged on the first moving platform, and the second vacuum suction platform is arranged on the second moving platform;
the turnover mechanism is arranged on the side edge of the first vacuum suction platform, a turnover shaft of the turnover mechanism is in transmission connection with the first vacuum suction platform, the turnover mechanism can drive the first vacuum suction platform to turn over for 180 degrees, and then a battery chip on the first vacuum suction platform is turned over and placed on the second vacuum suction platform;
the X-axis moving module, the first Y-axis moving module, the second Y-axis moving module and the turnover mechanism are all electrically connected with the controller; the first image acquisition device and the second image acquisition device are electrically connected with the processor;
the first image acquisition device and the second image acquisition device respectively scan the front side and the back side of the battery chip to obtain image information, and then the image information is fed back to the processor;
the processor processes the image information to obtain a processing result; and comparing the processing result with the image information of the defect-free battery chip stored in the processor, and then obtaining the defect condition of the battery chip according to the comparison result.
Furthermore, the defect detection equipment further comprises a machine table and a portal frame, wherein the first Y-axis moving module and the second Y-axis moving module are installed on the machine table, the portal frame is installed on the machine table, and the X-axis moving module is installed on the portal frame.
Further, the first image acquisition device and the second image acquisition device are both linear array cameras.
Furthermore, the first Y-axis moving module is provided with a first guide rail, the second Y-axis moving module is provided with a second guide rail, and the length directions of the first guide rail and the second guide rail extend along the Y-axis direction.
Further, the defect detection equipment also comprises a first positioning sensor for limiting the moving range of the first moving platform and a second positioning sensor for limiting the moving range of the second moving platform; the first positioning sensor and the second positioning sensor are electrically connected with the controller; the side at the both ends of first guide rail all is provided with first positioning sensor, the side at the both ends of second guide rail all is provided with second positioning sensor.
Furthermore, the defect detection equipment is provided with a feeding station, a front detection station, a back detection station and a discharging station; the first Y-axis moving module can drive the first vacuum suction platform to move back and forth between the feeding station and the front detection station; the second Y-axis moving module can drive the second vacuum suction platform to move back and forth between the back detection station and the blanking station.
The invention also provides a method for detecting the defects of the hydrogen fuel cell chip by applying the device, which at least comprises the following steps:
s10, driving the first vacuum suction platform to move to the feeding station by the first Y-axis moving module;
s20, placing the battery chip on the first vacuum suction platform through manual or mechanical equipment, wherein the front side of the battery chip faces upwards;
s30, the first vacuum suction platform sucks the battery chip through negative pressure, and the first Y-axis moving module drives the first vacuum suction platform to move to the front detection station;
s40, driving the first image acquisition device to move along the X direction by the X-axis moving module, scanning a battery chip below the first image acquisition device to obtain image information of the front side of the battery chip, and feeding the image information back to the processor;
s50, processing the image information of the front side of the battery chip by the processor to obtain a processing result; comparing the processing result with the front image information of the defect-free battery chip stored in the processor, and then obtaining the defect condition of the front of the battery chip according to the comparison result;
s60, driving the second vacuum suction platform to move to the back detection station by the second Y-axis moving module, starting the turnover mechanism, turning over the first vacuum suction platform by 180 degrees, and turning over the battery chip on the first vacuum suction platform to the second vacuum suction platform;
s70, flatly sucking the battery chip through the second vacuum sucking platform;
s80, the X-axis moving module drives the second image acquisition device to move along the X direction, scans the battery chip below the second image acquisition device to obtain image information of the back of the battery chip, and feeds the image information back to the processor;
s90, processing the image information on the back of the battery chip by the processor to obtain a processing result; and comparing the processing result with the back image information of the defect-free battery chip stored in the processor, and then obtaining the defect condition of the back of the battery chip according to the comparison result.
Further, the defect condition of the battery chip comprises one or the combination of more than two of wrinkles, bubbles, white spots, defects or surface small foreign matters.
Furthermore, the detection precision of the first image acquisition device and the second image acquisition device is 0.036 mm/pix.
Compared with the prior art, the invention has the beneficial effects that:
the invention provides a special detection device and a detection method for detecting the defects of the hydrogen fuel cell chip, and the vacuum suction platform can positively suck the cell chip so as to facilitate subsequent image acquisition and reduce detection errors. The turnover mechanism can turn over the battery chip, so that the defects of the front side and the back side of the battery chip can be detected. The battery chip is scanned by adopting the image acquisition device, and then the image information is compared with the image information without defects, so that the defect condition of the battery chip can be detected; moreover, the judgment standards are consistent, the stability of the detection result is good, and the error is small.
Drawings
Fig. 1 is a schematic perspective view of a defect detection apparatus for a hydrogen fuel cell chip according to an embodiment of the present invention;
FIG. 2 is a schematic perspective view of the apparatus of FIG. 1 at another angle;
FIG. 3 is a schematic top view of the apparatus of FIG. 1;
fig. 4 is a flowchart of a method for detecting defects of a hydrogen fuel cell chip according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc., indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience of description and simplicity of description, but do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the present invention; the terms "first," "second," and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance; furthermore, unless expressly stated or limited otherwise, the terms "mounted," "connected," and "connected" are to be construed broadly, as they may be fixedly connected, detachably connected, or integrally connected, for example; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
Referring to fig. 1 to 3, a defect detecting apparatus for a hydrogen fuel cell chip according to the present invention is shown, which includes an X-axis moving module 1, a first Y-axis moving module 2, a second Y-axis moving module 3, a first moving platform 4, a second moving platform 5, a first vacuum absorbing platform 6 for absorbing a cell chip, a turning mechanism 7, a second vacuum absorbing platform 8 for absorbing a cell chip, a first image capturing device 9, a second image capturing device 10, a controller, and a processor.
The X-axis moving module 1 is arranged above the first Y-axis moving module 2 and the second Y-axis moving module 3, the first image acquisition device 9 and the second image acquisition device 10 are arranged on the X-axis moving module 1, and the X-axis moving module 1 can drive the first image acquisition device 9 and the second image acquisition device 10 to reciprocate along the X-axis direction.
The first moving platform 4 is arranged on the first Y-axis moving module 2, and the first Y-axis moving module 2 can drive the first moving platform 4 to reciprocate along the Y-axis direction; the second moving platform 5 is arranged on the second Y-axis moving module 3, and the second Y-axis moving module 3 can drive the second moving platform 5 to reciprocate along the Y-axis direction; the first vacuum suction platform 6 and the turnover mechanism 7 are both arranged on the first moving platform 4, and the second vacuum suction platform 8 is arranged on the second moving platform 5.
The turnover mechanism 7 is arranged on the side edge of the first vacuum absorbing platform 6, and the turnover shaft of the turnover mechanism 7 is in transmission connection with the first vacuum absorbing platform 6. The turnover mechanism 7 can drive the first vacuum suction platform 6 to turn over for 180 degrees, then the battery chip on the first vacuum suction platform 6 is turned over and placed on the second vacuum suction platform 8.
The X-axis moving module 1, the first Y-axis moving module 2, the second Y-axis moving module 3 and the turnover mechanism 7 are all electrically connected with the controller, so that the controller can control the X-axis moving module 1, the first Y-axis moving module 2, the second Y-axis moving module 3 and the turnover mechanism 7 to move correspondingly within a set time range. The first image acquisition device 9 and the second image acquisition device 10 are both electrically connected with the processor, so that the processor can collect information sent by the first image acquisition device 9 and the second image acquisition device 10.
The first image acquisition device 9 and the second image acquisition device 10 respectively scan the front and the back of the battery chip to obtain image information, and then the image information is fed back to the processor. The processor processes the image information to obtain a processing result; and comparing the processing result with the image information of the defect-free battery chip stored in the processor, and then obtaining the defect condition of the battery chip according to the comparison result.
Specifically, the defect detecting apparatus further includes a machine 100 and a gantry 20. The first Y-axis moving module 2 and the second Y-axis moving module 3 are installed on the machine table 100, the gantry 200 is installed on the machine table 100, and the X-axis moving module 1 is installed on the gantry 20.
In this embodiment, the first image capturing device 9 and the second image capturing device 10 are both line cameras. The first Y-axis moving module 2 has a first guide rail, the second Y-axis moving module 3 has a second guide rail, and the length directions of the first guide rail and the second guide rail both extend along the Y-axis direction.
The defect detecting apparatus further includes a first positioning sensor 11 for limiting a movable range of the first moving platform 4 and a second positioning sensor 12 for limiting a movable range of the second moving platform 5. The first positioning sensor 11 and the second positioning sensor 12 are both electrically connected to the controller. The sides at the two ends of the first guide rail are provided with first positioning sensors 11, and the sides at the two ends of the second guide rail are provided with second positioning sensors 12. When the first moving platform 4 and the second moving platform 5 move to the set positions, the first moving platform and the second moving platform respectively enter the sensing ranges of the first positioning sensor 11 and the second positioning sensor 12, the first positioning sensor 11 and the second positioning sensor 12 send signals to the controller, and the controller controls the first Y-axis moving module 2 and the second Y-axis moving module 3 to stop working, so that the first moving platform 4 and the second moving platform 5 stop moving.
The defect detection equipment is provided with a feeding station, a front detection station, a back detection station and a discharging station. The first Y-axis moving module 2 can drive the first vacuum absorbing platform 6 to move back and forth between the feeding station and the front detection station. The second Y-axis moving module 3 can drive the second vacuum suction platform 5 to move back and forth between the back detection station and the blanking station.
Referring to fig. 4, the steps of detecting the defects of the hydrogen fuel cell chip by using the apparatus of the present embodiment are as follows:
s10, driving the first vacuum absorbing platform 6 to move to the feeding station by the first Y-axis moving module 2;
s20, placing the battery chip on the first vacuum suction platform 6 through manual or mechanical equipment, wherein the front side of the battery chip faces upwards;
s30, the first vacuum suction platform 6 sucks and flattens the battery chip through negative pressure, and the first Y-axis moving module 2 drives the first vacuum suction platform 6 to move to the front detection station;
s40, the X-axis moving module 1 drives the first image acquisition device 9 to move along the X direction, scans the battery chip below the first image acquisition device to obtain image information of the front side of the battery chip, and feeds the image information back to the processor;
s50, processing the image information of the front side of the battery chip by the processor to obtain a processing result; comparing the processing result with the front image information of the defect-free battery chip stored in the processor, and then obtaining the defect condition of the front of the battery chip according to the comparison result;
s60, the second Y-axis moving module 3 drives the second vacuum suction platform 8 to move to the back detection station, the turnover mechanism 7 is started, and the first vacuum suction platform 6 is turned over by 180 degrees, so that the battery chip on the first vacuum suction platform is turned over to the second vacuum suction platform 8;
s70, flatly sucking the battery chip by the second vacuum sucking platform 8 through negative pressure;
s80, the X-axis moving module 1 drives the second image acquisition device 10 to move along the X direction, scans the battery chip below the second image acquisition device to obtain image information of the back of the battery chip, and feeds the image information back to the processor;
s90, processing the image information on the back of the battery chip by the processor to obtain a processing result; and comparing the processing result with the back image information of the defect-free battery chip stored in the processor, and then obtaining the defect condition of the back of the battery chip according to the comparison result.
Specifically, the defect condition of the battery chip includes one or a combination of two or more of wrinkles, bubbles, white spots, defects and small foreign matters on the surface. The detection precision of the first image acquisition device 9 and the second image acquisition device 10 is 0.036 mm/pix.
The embodiment provides a special detection device and a detection method for detecting defects of a hydrogen fuel cell chip, and the first vacuum absorbing platform 6 and the second vacuum absorbing platform 8 can positively absorb the cell chip so as to facilitate subsequent image acquisition and reduce detection errors. The turnover mechanism 7 can turn over the battery chip so that defects on the front and back sides of the battery chip can be detected. The front and back surfaces of the battery chip are scanned by the first image acquisition device 9 and the second image acquisition device 10, and then the image information is compared with the image information without defects, so that the defect conditions of the front and back surfaces of the battery chip can be detected; moreover, the judgment standards are consistent, the stability of the detection result is good, and the error is small.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principle of the present invention are intended to be included within the scope of the present invention.
Claims (9)
1. The defect detection equipment for the hydrogen fuel cell chip is characterized by comprising an X-axis moving module, a first Y-axis moving module, a second Y-axis moving module, a first moving platform, a second moving platform, a first vacuum absorbing platform for absorbing the cell chip, a turnover mechanism, a second vacuum absorbing platform for absorbing the cell chip, a first image acquisition device, a second image acquisition device, a controller and a processor;
the X-axis moving module is arranged above the first Y-axis moving module and the second Y-axis moving module, the first image acquisition device and the second image acquisition device are both arranged on the X-axis moving module, and the X-axis moving module can drive the first image acquisition device and the second image acquisition device to reciprocate along the X-axis direction;
the first moving platform is arranged on the first Y-axis moving module, and the first Y-axis moving module can drive the first moving platform to reciprocate along the Y-axis direction; the second moving platform is arranged on the second Y-axis moving module, and the second Y-axis moving module can drive the second moving platform to reciprocate along the Y-axis direction; the first vacuum suction platform and the turnover mechanism are both arranged on the first moving platform, and the second vacuum suction platform is arranged on the second moving platform;
the turnover mechanism is arranged on the side edge of the first vacuum suction platform, a turnover shaft of the turnover mechanism is in transmission connection with the first vacuum suction platform, the turnover mechanism can drive the first vacuum suction platform to turn over for 180 degrees, and then a battery chip on the first vacuum suction platform is turned over and placed on the second vacuum suction platform;
the X-axis moving module, the first Y-axis moving module, the second Y-axis moving module and the turnover mechanism are all electrically connected with the controller; the first image acquisition device and the second image acquisition device are electrically connected with the processor;
the first image acquisition device and the second image acquisition device respectively scan the front side and the back side of the battery chip to obtain image information, and then the image information is fed back to the processor;
the processor processes the image information to obtain a processing result; and comparing the processing result with the image information of the defect-free battery chip stored in the processor, and then obtaining the defect condition of the battery chip according to the comparison result.
2. The defect detecting apparatus of claim 1, further comprising a machine table, wherein the first Y-axis moving module and the second Y-axis moving module are mounted on the machine table, and a gantry mounted on the machine table, wherein the X-axis moving module is mounted on the gantry.
3. The defect inspection apparatus of claim 1, wherein the first image capturing device and the second image capturing device are line cameras.
4. The defect inspection apparatus of claim 1, wherein the first Y-axis moving module has a first rail, the second Y-axis moving module has a second rail, and the first rail and the second rail each have a length direction extending in the Y-axis direction.
5. The defect detection apparatus of claim 4, further comprising a first positioning sensor for limiting a range of motion of the first moving platform and a second positioning sensor for limiting a range of motion of the second moving platform; the first positioning sensor and the second positioning sensor are electrically connected with the controller; the side at the both ends of first guide rail all is provided with first positioning sensor, the side at the both ends of second guide rail all is provided with second positioning sensor.
6. The defect inspection apparatus of any one of claims 1 to 5, wherein the defect inspection apparatus has a loading station, a front side inspection station, a back side inspection station, and a blanking station; the first Y-axis moving module can drive the first vacuum suction platform to move back and forth between the feeding station and the front detection station; the second Y-axis moving module can drive the second vacuum suction platform to move back and forth between the back detection station and the blanking station.
7. A method for detecting defects in a hydrogen fuel cell chip using the apparatus of claim 6, comprising at least the steps of:
s10, driving the first vacuum suction platform to move to the feeding station by the first Y-axis moving module;
s20, placing the battery chip on the first vacuum suction platform through manual or mechanical equipment, wherein the front side of the battery chip faces upwards;
s30, the first vacuum suction platform sucks the battery chip through negative pressure, and the first Y-axis moving module drives the first vacuum suction platform to move to the front detection station;
s40, driving the first image acquisition device to move along the X direction by the X-axis moving module, scanning a battery chip below the first image acquisition device to obtain image information of the front side of the battery chip, and feeding the image information back to the processor;
s50, processing the image information of the front side of the battery chip by the processor to obtain a processing result; comparing the processing result with the front image information of the defect-free battery chip stored in the processor, and then obtaining the defect condition of the front of the battery chip according to the comparison result;
s60, driving the second vacuum suction platform to move to the back detection station by the second Y-axis moving module, starting the turnover mechanism, turning over the first vacuum suction platform by 180 degrees, and turning over the battery chip on the first vacuum suction platform to the second vacuum suction platform;
s70, flatly sucking the battery chip through the second vacuum sucking platform;
s80, the X-axis moving module drives the second image acquisition device to move along the X direction, scans the battery chip below the second image acquisition device to obtain image information of the back of the battery chip, and feeds the image information back to the processor;
s90, processing the image information on the back of the battery chip by the processor to obtain a processing result; and comparing the processing result with the back image information of the defect-free battery chip stored in the processor, and then obtaining the defect condition of the back of the battery chip according to the comparison result.
8. The method of claim 7, wherein the defect condition of the battery chip comprises one or a combination of more than two of wrinkles, bubbles, white spots, defects or surface small foreign matters.
9. The method of claim 7, wherein the first image acquisition device and the second image acquisition device each have a detection accuracy of 0.036 mm/pix.
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| CN201911094614.XA CN111060529A (en) | 2019-11-11 | 2019-11-11 | Defect detection equipment and method for hydrogen fuel cell chip |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111693546A (en) * | 2020-06-16 | 2020-09-22 | 湖南大学 | Defect detection system, method and image acquisition system |
| CN112024422A (en) * | 2020-07-15 | 2020-12-04 | 镇江苏仪德科技有限公司 | Button cell surface defect detecting system |
| CN113466255A (en) * | 2021-06-24 | 2021-10-01 | 湖南奥创普科技有限公司 | Chip detection equipment |
| CN113495216A (en) * | 2021-05-17 | 2021-10-12 | 上海申风投资管理有限公司 | Fuel cell test equipment |
| CN116222413A (en) * | 2023-04-21 | 2023-06-06 | 航天轩宇(杭州)智能科技有限公司 | Detection device for sheet filter element |
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2019
- 2019-11-11 CN CN201911094614.XA patent/CN111060529A/en active Pending
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111693546A (en) * | 2020-06-16 | 2020-09-22 | 湖南大学 | Defect detection system, method and image acquisition system |
| CN112024422A (en) * | 2020-07-15 | 2020-12-04 | 镇江苏仪德科技有限公司 | Button cell surface defect detecting system |
| CN113495216A (en) * | 2021-05-17 | 2021-10-12 | 上海申风投资管理有限公司 | Fuel cell test equipment |
| CN113466255A (en) * | 2021-06-24 | 2021-10-01 | 湖南奥创普科技有限公司 | Chip detection equipment |
| CN116222413A (en) * | 2023-04-21 | 2023-06-06 | 航天轩宇(杭州)智能科技有限公司 | Detection device for sheet filter element |
| CN116222413B (en) * | 2023-04-21 | 2024-02-23 | 航天轩宇(杭州)智能科技有限公司 | Detection device for sheet filter element |
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