CN114235818A - Online detection device and detection method for membrane electrode defects - Google Patents
Online detection device and detection method for membrane electrode defects Download PDFInfo
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- CN114235818A CN114235818A CN202111560688.5A CN202111560688A CN114235818A CN 114235818 A CN114235818 A CN 114235818A CN 202111560688 A CN202111560688 A CN 202111560688A CN 114235818 A CN114235818 A CN 114235818A
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- 239000012528 membrane Substances 0.000 title claims abstract description 89
- 230000007547 defect Effects 0.000 title claims abstract description 67
- 238000001514 detection method Methods 0.000 title claims abstract description 34
- 230000010365 information processing Effects 0.000 claims abstract description 16
- 230000033001 locomotion Effects 0.000 claims abstract description 15
- 238000004519 manufacturing process Methods 0.000 claims abstract description 8
- 238000000034 method Methods 0.000 claims description 24
- 238000012360 testing method Methods 0.000 claims description 17
- 230000000694 effects Effects 0.000 abstract description 3
- 239000003054 catalyst Substances 0.000 description 6
- 239000000446 fuel Substances 0.000 description 6
- 238000002360 preparation method Methods 0.000 description 6
- 238000003487 electrochemical reaction Methods 0.000 description 3
- 238000000053 physical method Methods 0.000 description 3
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 3
- 238000006243 chemical reaction Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000009792 diffusion process Methods 0.000 description 2
- 239000007789 gas Substances 0.000 description 2
- 230000001678 irradiating effect Effects 0.000 description 2
- BASFCYQUMIYNBI-UHFFFAOYSA-N platinum Chemical group [Pt] BASFCYQUMIYNBI-UHFFFAOYSA-N 0.000 description 2
- UFHFLCQGNIYNRP-UHFFFAOYSA-N Hydrogen Chemical compound [H][H] UFHFLCQGNIYNRP-UHFFFAOYSA-N 0.000 description 1
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 239000006227 byproduct Substances 0.000 description 1
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- 239000000306 component Substances 0.000 description 1
- 239000008358 core component Substances 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000009826 distribution Methods 0.000 description 1
- 239000003792 electrolyte Substances 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 239000001257 hydrogen Substances 0.000 description 1
- 229910052739 hydrogen Inorganic materials 0.000 description 1
- 239000003014 ion exchange membrane Substances 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000007254 oxidation reaction Methods 0.000 description 1
- 239000001301 oxygen Substances 0.000 description 1
- 229910052760 oxygen Inorganic materials 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 238000006722 reduction reaction Methods 0.000 description 1
- 238000001878 scanning electron micrograph Methods 0.000 description 1
- 238000010998 test method Methods 0.000 description 1
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/8851—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/8851—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
- G01N2021/8887—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges based on image processing techniques
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Abstract
The invention discloses a membrane electrode defect online detection device and a detection method, wherein the device comprises a sample table, one side of the sample table is provided with a light source generator for providing a linear light source to the surface of a membrane electrode, and the side of the sample table opposite to the light source generator is provided with a CCD camera for taking pictures to the surface of the membrane electrode; the sample stage is movably arranged on the motion guide rail, and the motion guide rail drives the sample stage to move along with the control of the control system; the CCD camera is connected with the information processing system and used for acquiring defect conditions. The sample stage is fixed on the motion guide rail, the motion track is determined by the control system and is dragged by the motor, and the images collected by the LED line light source and the CCD camera are integrated by the information processing system. The invention introduces the industrial CCD camera on-line scanning image principle into the membrane electrode production line, and utilizes the line light source to generate the surface scanning effect on the surface of the membrane electrode, thereby jointly ensuring the accuracy of detecting the penetrability defects in the membrane electrode production process; the electrode is not damaged structurally.
Description
Technical Field
The invention relates to an electrode assembly defect detection device and a detection method, in particular to a membrane electrode defect online detection device and a detection method.
Background
A fuel cell is an energy conversion device that oxidizes and reduces hydrogen and oxygen, respectively, through an electrochemical reaction process, releasing electrical energy, and producing water as a byproduct. The fuel cell mainly comprises a cathode and an anode and an electrolyte membrane, wherein the anode of the cell generates oxidation reaction; the cathode of the cell is subjected to a reduction reaction, and the cathode and the anode work together to enable the fuel cell to generate a complete electrochemical reaction. The internal structure of the fuel cell is formed by connecting dozens to hundreds of membrane electrodes and bipolar plates in series in sequence, wherein the membrane electrode is a core component of the fuel cell, is a place for electrochemical reaction in the cell and consists of an ion exchange membrane, a catalyst layer and a gas diffusion layer. The membrane electrode structure comprises a first generation gas diffusion electrode, a second generation CCM type electrode, a third generation thin layer ordered structure electrode and the like according to different preparation processes of the catalyst layer, and the second generation CCM type membrane electrode is still widely applied at present. With the rapid development of fuel cell technology, the preparation process of the membrane electrode is also developed from the small-scale monolithic preparation process in a laboratory to the continuous preparation process of a professional production line, and higher requirements are also provided for quality monitoring in the membrane electrode preparation process in order to ensure the consistency of the membrane electrode preparation in batches.
In the prior art, the defect detection of the membrane electrode is generally carried out by physical methods, such as: and (3) detecting whether pinholes exist on the surface of the membrane electrode by using water and the pH test paper according to the color change reaction caused when the water is contacted with the pH test paper through the pinholes.
However, the membrane electrode is a layered structure, and the existing membrane electrode detection method may damage the membrane electrode itself due to the above physical operation, so a defect detection method capable of performing nondestructive detection on the membrane electrode is urgently needed, and is significant for improving the accuracy of the detection result.
Disclosure of Invention
The purpose of the invention is as follows: the invention aims to provide a membrane electrode defect online detection device which can realize convenient and fast detection;
the second purpose of the invention is to provide an online detection method for the defects of the membrane electrode.
The technical scheme is as follows: the invention relates to a membrane electrode defect online detection device, which comprises a sample table for placing a membrane electrode, wherein a linear light source for irradiating the surface of the membrane electrode is arranged on one side of the sample table, and a CCD camera for photographing the surface of the membrane electrode is arranged on the side, opposite to the linear light source, of the sample table; the sample stage is movably arranged on a motion guide rail, and the motion guide rail drives the sample stage to move along with the control of the control system; the CCD camera is connected with the information processing system and used for acquiring defect conditions.
The device also comprises a moving component used for moving the membrane electrode on the sample platform so as to enable the continuous membrane electrode in the production line to carry out online detection.
The motion guide rail comprises an X-direction guide rail and a Y-direction guide rail which drive the sample table to move along the X direction and the Y direction.
The LED light source is an LED line light source, and the LED line light source is light with the wavelength of 350-770 nm.
The linear light source is fixed below the sample stage, and the CCD camera frame is arranged above the sample stage.
The method for detecting the defects by using the membrane electrode defect online detection device comprises the following steps:
(1) fixing the membrane electrode on a sample table;
(2) resetting the position of the sample stage by using a control system to enable the sample stage to be at an initial point;
(3) setting a sample motion track, a moving speed and a moving distance by using a control system, starting a test, irradiating an LED line light source on the surface of one side of the membrane electrode, and photographing the surface of the membrane electrode on the opposite side by using a CCD camera;
(4) and after the test is finished, acquiring defect information from the CCD picture acquired by the information processing system.
The LED line light source and the CCD camera are located on the same vertical line.
Wherein the motion rail moves in both directions X, Y.
Wherein the moving speed of the moving guide rail is 0.1-800 m/min.
The working principle is as follows: the membrane electrode moves on the motion guide rail, the line light source scans the surface of the membrane electrode, if the membrane electrode has a pinhole defect, an optical signal sent by the line light source can be captured by the CCD camera, and the size of the pinhole defect can be positioned and recorded through a shot picture, so that the aim of conveniently and rapidly detecting the penetrability defect on the surface of the membrane electrode is fulfilled. The defect detection device and the defect detection method are particularly suitable for detecting the pinhole defects on the surface of the membrane electrode.
Has the advantages that: compared with the prior art, the invention has the following remarkable effects: 1. compared with the prior art that defect information is obtained by analyzing an electric signal, the invention introduces the industrial CCD camera on-line scanning image principle into the membrane electrode production line, and utilizes a line light source to generate the surface scanning effect on the surface of the membrane electrode, thereby jointly ensuring the accuracy of detecting the penetrability defects in the membrane electrode production process; 2. the minimum precision of the detected defects can reach 0.01 mm; 3. compared with the conventional physical method, the invention does not damage the membrane electrode structure, and the membrane electrode after the test can still be used; 4. compared with the conventional physical method, the method is simple and convenient to operate and high in testing speed.
Drawings
FIG. 1 is a schematic diagram of the structure of the apparatus of the present invention;
FIG. 2 is a schematic diagram of the apparatus of the present invention;
FIG. 3 is a graph of defect location distribution detected by the apparatus and method of the present invention;
FIG. 4 is an image of a defect detected by the apparatus and method of the present invention;
FIG. 5 is an SEM image of a defect detected by the apparatus and method of the present invention.
Detailed Description
The invention is described in further detail below with reference to the drawings.
As shown in fig. 1 and 2, the present invention provides a device for detecting defects on a membrane electrode, which comprises a sample stage 1 for placing a membrane electrode, wherein a light source generator 2 is arranged on one side of the sample stage 1 for providing a line light source to the surface of the membrane electrode; the light source generator 2 is an LED line light source, and the LED line light source is light with the wavelength of 350-770 nm; a CCD camera 3 is arranged on one side of the sample stage 1 opposite to the light source generator 2 and used for taking pictures on the surface of the membrane electrode; the LED line light source and the CCD camera 3 are positioned on the same vertical line;
the sample table 1 is movably arranged on a moving guide rail, the moving guide rail of the embodiment is fixed on the surface of the frame body 7, and the moving guide rail can also be arranged on an actual production line; the moving guide rails comprise an X-direction guide rail 4 and a Y-direction guide rail 5 which drive the sample table 1 to move along the X direction and the Y direction. The X-direction guide rail 4 is arranged along one length direction of the frame body 7, the Y-direction moving guide rail is arranged along one width direction of the frame body 7, and the X-direction guide rail 4 and the Y-direction guide rail 5 are driven by a motor 6. The sample platform 11 of this application is fixed in on the X guide rail 4, and motor 6 drive sample platform 1 moves along X guide rail 4, when needs move along Y guide rail 5, and motor 6 drives X guide rail 4 and sample platform 1 and wholly moves along Y guide rail 5. The two motion guide rails are determined by a control system (not shown in the figure) and dragged by a motor 6; so that the light source generator 2 forms a surface light source for the membrane electrode; the light source generator 2 is fixed below the sample stage 1, and the CCD camera 3 is arranged above the sample stage 1. The CCD camera 3 is connected to an information processing system (not shown in the figure) for acquiring a defect situation. In this embodiment, the movement of the X-direction guide rail 4 and the Y-direction guide rail 5 may be rack transmission, or any mechanism capable of driving the sample stage 1 to move in the prior art.
To test the feasibility of this method, a number of defects of varying sizes were previously made on the complete CCM membrane and examined using a scanning electron microscope, as shown in fig. 5, to determine the number of defects and to compare this test method to determine the accuracy of the method.
The method for detecting the defects of the membrane electrode on line by using the device for detecting the defects of the membrane electrode comprises the following steps:
(1) selecting a CCM membrane with the area of 5cm multiplied by 5cm to be fixed on a sample table 1, wherein the catalyst of the CCM membrane is Pt/C, and the loading capacity is 0.3mg/cm2The film thickness is 15 μm;
(2) starting a power supply, resetting the position of the sample table 1 to enable the sample table to be at an initial point, and ensuring that the LED line light source and the CCD camera 3 are on the same vertical line;
(3) opening a control system and an information processing system, wherein the moving distance of the guide rail is 40cm, and the moving speed is 1 m/min;
(4) starting a test, and after the test is finished, acquiring the defect condition from the information processing system;
the number of defects detected by the SEM is 9, as shown in fig. 3, the number of defects detected by this method is 9, and fig. 4 is a picture of the LED line light source passing through the pinhole defect and captured by the CCD camera. The method can be judged to be feasible and has higher accuracy through the comparison.
Example 2
The method for detecting the defects of the membrane electrode on line by using the device for detecting the defects of the membrane electrode in the embodiment 1 comprises the following steps:
(1) selecting a CCM membrane with the area of 5cm multiplied by 5cm to be fixed on a sample table 1, wherein the catalyst of the CCM membrane is Pt black, and the loading capacity is 0.2mg/cm2The film thickness is 15 μm;
(2) starting a power supply, resetting the position of the sample table 1 to enable the sample table to be at an initial point, and ensuring that the LED line light source and the CCD camera 3 are on the same vertical line;
(3) opening a control system and an information processing system, wherein the moving distance of the guide rail is 40cm, and the moving speed is 2 m/min;
(4) starting a test, and after the test is finished, acquiring the defect condition from the information processing system;
the number of the defects detected by the SEM is 7, the number of the defects detected by the method is 7, and the method is feasible and high in accuracy.
Example 3
The method for detecting the defects of the membrane electrode on line by using the device for detecting the defects of the membrane electrode in the embodiment 1 comprises the following steps:
(1) selecting a CCM membrane with the area of 10cm multiplied by 10cm to be fixed on a sample table 1, wherein the catalyst of the CCM membrane is Pt/C, and the loading capacity is 0.3mg/cm2The film thickness is 15 μm;
(2) starting a power supply, resetting the position of the sample table 1 to enable the sample table to be at an initial point, and ensuring that the LED line light source and the CCD camera 3 are on the same vertical line;
(3) opening a control system and an information processing system, wherein the moving distance of the guide rail is 40cm, and the moving speed is 1 m/min;
(4) and starting the test, and obtaining the defect condition from the information processing system after the test is finished.
The number of the defects detected by the SEM is 9, the number of the defects detected by the method is 9, and the method is feasible and high in accuracy.
Example 4
The method for detecting the defects of the membrane electrode on line by using the device for detecting the defects of the membrane electrode in the embodiment 1 comprises the following steps:
(1) selecting a CCM membrane with the area of 10cm multiplied by 10cm to be fixed on a sample table 1, wherein the catalyst of the CCM membrane is Pt black, and the loading capacity is 0.2mg/cm2The film thickness is 25 μm;
(2) starting a power supply, resetting the position of the sample table 1 to enable the sample table to be at an initial point, and ensuring that the LED line light source and the CCD camera 3 are on the same vertical line;
(3) opening a control system and an information processing system, wherein the moving distance of the guide rail is 40cm, and the moving speed is 2 m/min;
(4) and starting the test, and obtaining the defect condition from the information processing system after the test is finished.
The number of the defects detected by the SEM is 5, the number of the defects detected by the method is 5, and the method is feasible and high in accuracy.
Claims (10)
1. The membrane electrode defect online detection device is characterized by comprising a sample table (1) for placing a membrane electrode, wherein one side of the sample table (1) is provided with a light source generator (2) for providing a linear light source to the surface of the membrane electrode, and one side of the sample table (1) opposite to the light source generator (2) is provided with a CCD camera (3) for taking pictures of the surface of the membrane electrode; the sample stage (1) is movably arranged on a motion guide rail, and the motion guide rail drives the sample stage (1) to move along with the control of a control system, so that a light source generator (2) forms a surface light source on the membrane electrode; the CCD camera (3) is connected with an information processing system and used for acquiring defect conditions.
2. A membrane electrode defect online detection device according to claim 1, characterized by further comprising a moving component for moving the membrane electrode on the sample stage (1) so as to enable online detection of continuous membrane electrodes in a production line.
3. The membrane electrode defect online detection device according to claim 1, wherein the moving guide rails comprise an X-direction guide rail (4) and a Y-direction guide rail (5) which drive the sample stage (1) to move along the X direction and the Y direction.
4. The membrane electrode defect online detection device according to claim 1, wherein the light source generator (2) is an LED line light source.
5. The on-line detection device for the defects of the membrane electrode according to claim 4, wherein the LED line light source is light with the wavelength of 350-770 nm.
6. The membrane electrode defect online detection device according to claim 1, wherein the light source generator (2) is fixed below the sample stage (1), and the CCD camera (3) is erected above the sample stage (1).
7. A method for detecting defects by using the membrane electrode defect online detection device of claim 1, which is characterized by comprising the following steps:
(A) fixing a membrane electrode on a sample table (1);
(B) the control system resets the position of the sample table (1) to enable the sample table (1) to be at an initial point;
(C) starting a test: the moving guide rail drives the sample stage (1) to move, the light source generator (2) emits a line light source to the surface of the membrane electrode, and a surface light source is formed on the surface of the membrane electrode; the CCD camera (3) photographs the surface of the membrane electrode from the other side of the surface of the membrane electrode and transmits photographing information to the information processing system;
(D) and after the test is finished, the information processing system acquires defect information according to the CCD picture.
8. The method for detecting the membrane electrode defect on-line detection device according to claim 7, wherein in the step (C), the LED line light source emitted by the light source generator (2) and the CCD camera (3) are in the same vertical line.
9. The method for detecting the defects by using the membrane electrode defect online detection device according to claim 7, wherein in the step (C), the movement track, the moving speed and the moving distance of the sample stage (1) are preset in the control system for the light source generator (2) to perform the surface scanning on the whole surface of the membrane electrode.
10. The method for detecting the defects of the membrane electrode on-line detection device according to claim 7, wherein in the step (C), the moving speed of the moving guide rail is 0.1-800 m/min.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202111560688.5A CN114235818A (en) | 2021-12-20 | 2021-12-20 | Online detection device and detection method for membrane electrode defects |
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| CN202111560688.5A CN114235818A (en) | 2021-12-20 | 2021-12-20 | Online detection device and detection method for membrane electrode defects |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104081192A (en) * | 2011-04-21 | 2014-10-01 | 艾悌亚信息技术（上海）有限公司 | Apparatus and method for photographing glass defects in multiple layers |
| CN205482775U (en) * | 2016-01-28 | 2016-08-17 | 郑州磨料磨具磨削研究所有限公司 | Thickness measurement device based on two amesdials |
| CN110231344A (en) * | 2019-07-17 | 2019-09-13 | 佛山市清极能源科技有限公司 | A kind of film electrode fault, which quickly sieves, picks method and apparatus |
| CN110231345A (en) * | 2019-07-17 | 2019-09-13 | 佛山市清极能源科技有限公司 | A kind of film electrode fault online test method and equipment |
| CN110361395A (en) * | 2019-08-06 | 2019-10-22 | 天津日博工业技术有限公司 | A kind of waterproof ventilated membrane defect test method and apparatus based on machine vision |
| CN112820909A (en) * | 2020-12-31 | 2021-05-18 | 南京大学昆山创新研究院 | Anti-reversal testing system and method for membrane electrode of fuel cell |
-
2021
- 2021-12-20 CN CN202111560688.5A patent/CN114235818A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104081192A (en) * | 2011-04-21 | 2014-10-01 | 艾悌亚信息技术（上海）有限公司 | Apparatus and method for photographing glass defects in multiple layers |
| CN205482775U (en) * | 2016-01-28 | 2016-08-17 | 郑州磨料磨具磨削研究所有限公司 | Thickness measurement device based on two amesdials |
| CN110231344A (en) * | 2019-07-17 | 2019-09-13 | 佛山市清极能源科技有限公司 | A kind of film electrode fault, which quickly sieves, picks method and apparatus |
| CN110231345A (en) * | 2019-07-17 | 2019-09-13 | 佛山市清极能源科技有限公司 | A kind of film electrode fault online test method and equipment |
| CN110361395A (en) * | 2019-08-06 | 2019-10-22 | 天津日博工业技术有限公司 | A kind of waterproof ventilated membrane defect test method and apparatus based on machine vision |
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