CN110987952A - Defect detection equipment and method for gas diffusion layer of hydrogen fuel cell - Google Patents
Defect detection equipment and method for gas diffusion layer of hydrogen fuel cell Download PDFInfo
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- CN110987952A CN110987952A CN201911094225.7A CN201911094225A CN110987952A CN 110987952 A CN110987952 A CN 110987952A CN 201911094225 A CN201911094225 A CN 201911094225A CN 110987952 A CN110987952 A CN 110987952A
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- 230000007547 defect Effects 0.000 title claims abstract description 95
- 238000001514 detection method Methods 0.000 title claims abstract description 50
- 239000007789 gas Substances 0.000 title claims abstract description 23
- 238000009792 diffusion process Methods 0.000 title claims abstract description 22
- 239000000446 fuel Substances 0.000 title claims abstract description 21
- 238000000034 method Methods 0.000 title claims abstract description 20
- 239000001257 hydrogen Substances 0.000 title claims abstract description 18
- 229910052739 hydrogen Inorganic materials 0.000 title claims abstract description 18
- UFHFLCQGNIYNRP-UHFFFAOYSA-N Hydrogen Chemical compound [H][H] UFHFLCQGNIYNRP-UHFFFAOYSA-N 0.000 title claims abstract description 17
- 230000002950 deficient Effects 0.000 claims description 11
- 238000012545 processing Methods 0.000 claims description 3
- 239000000284 extract Substances 0.000 claims description 2
- 235000012209 glucono delta-lactone Nutrition 0.000 claims 21
- 238000004519 manufacturing process Methods 0.000 abstract description 2
- OKKJLVBELUTLKV-UHFFFAOYSA-N Methanol Chemical compound OC OKKJLVBELUTLKV-UHFFFAOYSA-N 0.000 description 6
- 238000012360 testing method Methods 0.000 description 5
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 description 3
- 239000011149 active material Substances 0.000 description 3
- 229910052799 carbon Inorganic materials 0.000 description 3
- 238000006243 chemical reaction Methods 0.000 description 3
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 2
- 239000003054 catalyst Substances 0.000 description 2
- VNWKTOKETHGBQD-UHFFFAOYSA-N methane Chemical compound C VNWKTOKETHGBQD-UHFFFAOYSA-N 0.000 description 2
- 239000001301 oxygen Substances 0.000 description 2
- 229910052760 oxygen Inorganic materials 0.000 description 2
- 238000012546 transfer Methods 0.000 description 2
- -1 borohydride Substances 0.000 description 1
- 239000003034 coal gas Substances 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 239000004744 fabric Substances 0.000 description 1
- 150000002431 hydrogen Chemical class 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000003345 natural gas Substances 0.000 description 1
- 239000007800 oxidant agent Substances 0.000 description 1
- 230000001590 oxidative effect Effects 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 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
- G01N21/89—Investigating the presence of flaws or contamination in moving material, e.g. running paper or textiles
- G01N21/892—Investigating the presence of flaws or contamination in moving material, e.g. running paper or textiles characterised by the flaw, defect or object feature examined
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B11/00—Measuring arrangements characterised by the use of optical techniques
- G01B11/02—Measuring arrangements characterised by the use of optical techniques for measuring length, width or thickness
- G01B11/04—Measuring arrangements characterised by the use of optical techniques for measuring length, width or thickness specially adapted for measuring length or width of objects while moving
- G01B11/043—Measuring arrangements characterised by the use of optical techniques for measuring length, width or thickness specially adapted for measuring length or width of objects while moving for measuring length
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B11/00—Measuring arrangements characterised by the use of optical techniques
- G01B11/02—Measuring arrangements characterised by the use of optical techniques for measuring length, width or thickness
- G01B11/04—Measuring arrangements characterised by the use of optical techniques for measuring length, width or thickness specially adapted for measuring length or width of objects while moving
- G01B11/046—Measuring arrangements characterised by the use of optical techniques for measuring length, width or thickness specially adapted for measuring length or width of objects while moving for measuring width
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- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Engineering & Computer Science (AREA)
- Life Sciences & Earth Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- Textile Engineering (AREA)
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- Pathology (AREA)
- Investigating Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)
Abstract
The invention belongs to the technical field of hydrogen fuel cell production, and provides a device and a method for detecting defects of a gas diffusion layer of a hydrogen fuel cell. The detection equipment adopts the control system to control the driving module, the shooting device and the detection platform to work in a time and space matched mode, after the shooting device sends the shot image information to the processor, the defect condition of the GDL can be obtained after the processor processes and compares the image information, and the detection equipment is high in automation degree and detection efficiency. Meanwhile, the method for identifying the image is adopted to identify the defect characteristics of the GDL, the operation is simple and convenient, and the standardization of the detection result is facilitated.
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 gas diffusion layer of a hydrogen fuel cell.
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.
The Gas Diffusion Layer (GDL) of a hydrogen fuel cell is a key component of a fuel cell, and generally consists of carbon paper or carbon cloth, and mainly plays roles of mass transfer, electric conduction, heat transfer, catalyst Layer support and water guiding, and at the same time, the Gas Diffusion Layer plays a role of a medium for diffusing hydrogen/oxygen or methanol/air to a catalyst Layer for reaction, and therefore, the Gas Diffusion Layer is required to be a porous Gas permeable material.
The quality of the gas diffusion layer directly affects the quality of the hydrogen fuel cell, and therefore, before the gas diffusion layer is assembled, the gas diffusion layer needs to be subjected to defect detection so as to avoid the problem that the quality of the whole hydrogen fuel cell is affected by the problem of the gas diffusion layer, so that a defect detection device specially used for the gas diffusion layer of the cell needs to be developed.
Disclosure of Invention
The invention aims to provide special detection equipment and a method for detecting a gas diffusion layer of a battery, so that the detection automation of GDL is realized, and the detection efficiency of GDL is improved.
The defect detection equipment comprises a detection platform for placing a GDL, a Y-axis driving module for moving the detection platform, a shooting device for acquiring GDL image information, an X-axis driving module for moving the shooting device, a processor for processing the image information and obtaining the GDL defect condition, and a control system for controlling the Y-axis driving module and the X-axis driving module;
the detection platform is arranged on the power output end of the Y-axis driving module, and the Y-axis driving module can drive the detection platform to reciprocate along the Y-axis direction;
the shooting device is positioned above the detection platform and is arranged at the power output end of the X-axis driving module, and the X-axis driving module can drive the detection platform to reciprocate along the X-axis direction;
the shooting device is electrically connected with the processor, the shooting device sends shot image information to the processor, the processor stores image information of non-defective GDL and image information of defective features, the processor extracts image information of distinguishing features after comparing the received image information of GDL with the image information of non-defective GDL, and the processor matches the image information of distinguishing features with the image information of defective features to obtain the defect condition of GDL;
the control system is electrically connected with the Y-axis driving module and the X-axis driving module.
Further, the shooting device is a camera using a linear array image sensor.
Further, the image information of the defect characteristics of the GDL stored in the processor includes image information of an appearance defect including a missing corner, a missing edge, a spot or a hole, and image information of a size defect including an excessively long length, an insufficient length, an excessively large width or an insufficient width.
Further, the defect detecting equipment further comprises a height indicator for measuring the thickness of the GDL, and the height indicator is electrically connected with the processor.
Furthermore, the defect detection equipment further comprises a gantry type support, the X-axis driving module is installed on the gantry type support, and the Y-axis driving module is located below the gantry type support.
Further, the defect detection device also comprises a display for displaying the condition of GDL defects, and the display is electrically connected with the processor.
In order to solve the above technical problem, the present invention further provides a method for detecting defects of a GDL by using the above apparatus, where the method includes:
acquiring image information of a defect-free GDL and image information of defect features;
the shooting device shoots the GDL to obtain the image information of the GDL;
comparing the GDL image information with the image information of the defect-free GDL, and extracting the image information of the distinguishing features;
and matching the image information of the distinguishing features with the image information of the defect features to obtain the defect condition of the GDL.
Further, the step of obtaining the image information of the defect-free GDL and the image information of the defect feature comprises the following steps:
shooting the defect-free GDL by using a shooting device to obtain image information of the defect-free GDL;
defining the name of a certain defect feature, then shooting a GDL with the defect feature by adopting a shooting device, and acquiring image information corresponding to the defect feature;
by adopting the steps, all defect characteristics needing to be detected are defined, and the image information of all the defect characteristics needing to be detected is obtained.
Further, the defect characteristics comprise appearance defect characteristics, and the names of the appearance defect characteristics are unfilled corners, unfilled edges, spots or holes.
Further, the defect features include size defect features, and the names of the size defects are too long, not long enough, too large in width or not wide enough.
Compared with the prior art, the invention has the beneficial effects that:
the invention provides a special detection device and a method for detecting a gas diffusion layer of a battery. The detection equipment adopts the control system to control the driving module, the shooting device and the detection platform to work in a time and space matched mode, the shooting device sends shot image information to the processor, and the GDL defect condition can be obtained after the processor processes and compares the image information. Meanwhile, the method for identifying the image is adopted to identify the defect characteristics of the GDL, the operation is simple and convenient, and the standardization of the detection result is facilitated.
Drawings
FIG. 1 is a schematic structural diagram of a GDL defect detection apparatus according to an embodiment of the present invention;
fig. 2 is a flowchart of a GDL defect detection method 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, a defect detection apparatus for a gas diffusion layer of a hydrogen fuel cell according to an embodiment of the present invention is shown, which includes a detection platform 1 for placing a GDL, a Y-axis driving module 2 for moving the detection platform 1, a camera 3 for collecting GDL image information, an X-axis driving module 4 for moving the camera 3, a processor for processing the image information and obtaining a GDL defect condition, and a control system for controlling the Y-axis driving module 2 and the X-axis driving module 4. In this embodiment, the shooting device 3 is a camera using a line image sensor.
The detection platform 1 is installed on the power output end of the Y-axis driving module 2, and the Y-axis driving module 2 can drive the detection platform 1 to reciprocate along the Y-axis direction.
Shoot device 3 and be located testing platform 1 top, shoot device 3 and install on the power take off of X axle drive module 4, X axle drive module 4 can drive testing platform 1 along X axle direction reciprocating motion.
The shooting device 3 is electrically connected with the processor, the shooting device 3 sends shot image information to the processor, and the control system is electrically connected with the Y-axis driving module 2 and the X-axis driving module 4.
The processor is used for comparing the received GDL image information with the image information of the non-defective GDL, extracting the image information of the distinguishing characteristics, and matching the image information of the distinguishing characteristics with the image information of the defective characteristics to obtain the defect condition of the GDL.
The image information of the defect characteristics of the GDL stored in the processor comprises image information of appearance defects including unfilled corners, unfilled edges, spots or holes, and image information of size defects including overlong length, insufficient length, overlarge width or insufficient width.
The defect detection equipment further comprises a height indicator used for measuring the thickness of the GDL, and the height indicator is electrically connected with the processor. The height measuring instrument can detect the thickness of the GDL and send the thickness information to the processor, the processor stores standard thickness information of the GDL, if the detected thickness of the GDL is not consistent with the standard thickness information of the GDL, the thickness of the GDL is output to be defective, specifically, if the thickness of the GDL is smaller than the standard thickness information of the GDL, the detected thickness of the GDL is too small, and if the thickness of the GDL is larger than the standard thickness information of the GDL, the detected thickness of the GDL is too large.
The defect detection equipment further comprises a gantry type support 5 and a display used for displaying the defect condition of the GDL. The display is electrically connected with the processor, the X-axis driving module 4 is installed on the gantry type support 5, and the Y-axis driving module 3 is located below the gantry type support 5.
Referring to fig. 2, the method for detecting defects of a GDL by using the apparatus of the present embodiment includes the following steps:
acquiring image information of a defect-free GDL and image information of defect features;
manually placing the GDL on the detection platform 1, moving the detection platform 1 to the position right below the shooting device 3 by the Y-axis driving module 2, and driving the shooting device 3 to shoot the GDL (namely scanning the GDL) while moving by the X-axis driving module 4 to obtain image information of the GDL;
comparing the GDL image information with the image information of the defect-free GDL, and extracting the image information of the distinguishing features;
and matching the image information of the distinguishing features with the image information of the defect features to obtain the defect condition of the GDL.
Further, the step of obtaining the image information of the defect-free GDL and the image information of the defect feature comprises the following steps:
shooting the defect-free GDL by using a shooting device 3 to obtain the image information of the defect-free GDL;
defining the name of a certain defect feature, then shooting the GDL with the defect feature by adopting a shooting device 3, and acquiring image information corresponding to the defect feature;
by adopting the steps, all defect characteristics needing to be detected are defined, and the image information of all the defect characteristics needing to be detected is obtained.
Further, the defect characteristics comprise appearance defect characteristics and size defect characteristics, and the appearance defect characteristics are named as unfilled corners, unfilled edges, spots or holes. Dimensional defects are named as being too long, not long enough, too wide, or not wide enough.
The present embodiment provides a special detection apparatus and method for detecting a gas diffusion layer of a battery. Wherein, this check out test set adopts control system control Y axle drive module 2, X axle drive module 4, shoot device 3 and testing platform 1 cooperation work in time and space, after shooting device 3 sends the image information who shoots to the treater, the treater is handled and is compared image information, can obtain GDL's the defect condition, the check out test set degree of automation of this embodiment is high, detection efficiency is high. Meanwhile, the method for identifying the image is used for identifying the defect characteristics of the GDL, is simple and convenient to operate, and is beneficial to standardization of detection results.
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 (10)
1. The defect detection equipment for the gas diffusion layer of the hydrogen fuel cell is characterized by comprising a detection platform for placing a GDL, a Y-axis driving module for moving the detection platform, a shooting device for acquiring GDL image information, an X-axis driving module for moving the shooting device, a processor for processing the image information and obtaining the GDL defect condition, and a control system for controlling the Y-axis driving module and the X-axis driving module;
the detection platform is arranged on the power output end of the Y-axis driving module, and the Y-axis driving module can drive the detection platform to reciprocate along the Y-axis direction;
the shooting device is positioned above the detection platform and is arranged at the power output end of the X-axis driving module, and the X-axis driving module can drive the detection platform to reciprocate along the X-axis direction;
the shooting device is electrically connected with the processor, the shooting device sends shot image information to the processor, the processor stores image information of non-defective GDL and image information of defective features, the processor extracts image information of distinguishing features after comparing the received image information of GDL with the image information of non-defective GDL, and the processor matches the image information of distinguishing features with the image information of defective features to obtain the defect condition of GDL;
the control system is electrically connected with the Y-axis driving module and the X-axis driving module.
2. The apparatus for detecting defects in a gas diffusion layer of a hydrogen fuel cell according to claim 1, wherein said photographing means is a camera using a line image sensor.
3. The apparatus for detecting defects in a gas diffusion layer for a hydrogen fuel cell according to claim 1, wherein the image information of the defects characteristic of the GDL stored in the processor includes image information of an appearance defect including a missing corner, a missing edge, a spot, or a hole, and image information of a size defect including an excessive length, an insufficient length, an excessive width, or an insufficient width.
4. The apparatus for detecting defects in a gas diffusion layer of a hydrogen fuel cell according to claim 1, further comprising an altimeter for measuring a thickness of the GDL, the altimeter being electrically connected to the processor.
5. The apparatus for detecting defects in a gas diffusion layer of a hydrogen fuel cell according to claim 1, further comprising a gantry, wherein the X-axis driving module is mounted on the gantry, and wherein the Y-axis driving module is located below the gantry.
6. The apparatus for detecting defects in a gas diffusion layer of a hydrogen fuel cell according to claim 1, further comprising a display for displaying GDL defects, the display being electrically connected to the processor.
7. A method for detecting defects of a GDL by using the apparatus of any one of claims 1 to 6, the method comprising:
acquiring image information of a defect-free GDL and image information of defect features;
the shooting device shoots the GDL to obtain the image information of the GDL;
comparing the GDL image information with the image information of the defect-free GDL, and extracting the image information of the distinguishing features;
and matching the image information of the distinguishing features with the image information of the defect features to obtain the defect condition of the GDL.
8. The method of defect detection as claimed in claim 7, wherein obtaining image information of defect-free GDLs and image information of defect features comprises the steps of:
shooting the defect-free GDL by using a shooting device to obtain image information of the defect-free GDL;
defining the name of a certain defect feature, then shooting a GDL with the defect feature by adopting a shooting device, and acquiring image information corresponding to the defect feature;
by adopting the steps, all defect characteristics needing to be detected are defined, and the image information of all the defect characteristics needing to be detected is obtained.
9. The method of defect detection according to claim 8, wherein the defect features comprise appearance defect features, and the appearance defect features are named as unfilled corners, unfilled edges, spots or holes.
10. The method of defect detection according to claim 8, wherein the defect features comprise dimensional defect features, wherein the dimensional defects are named as over long, under long, over wide, or under wide.
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| CN201911094225.7A CN110987952A (en) | 2019-11-11 | 2019-11-11 | Defect detection equipment and method for gas diffusion layer of hydrogen fuel cell |
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| CN201911094225.7A CN110987952A (en) | 2019-11-11 | 2019-11-11 | Defect detection equipment and method for gas diffusion layer of hydrogen fuel cell |
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| US20110299760A1 (en) * | 2009-02-25 | 2011-12-08 | Minoru Harada | Defect observation method and defect observation apparatus |
| CN108365231A (en) * | 2018-02-09 | 2018-08-03 | 上海亮仓能源科技有限公司 | A kind of batch manufacturing method of fuel cell membrane electrode |
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| 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 |
| CN211426315U (en) * | 2019-11-11 | 2020-09-04 | 深圳市世椿智能装备股份有限公司 | Defect detection equipment for gas diffusion layer of hydrogen fuel cell |
-
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- 2019-11-11 CN CN201911094225.7A patent/CN110987952A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20110299760A1 (en) * | 2009-02-25 | 2011-12-08 | Minoru Harada | Defect observation method and defect observation apparatus |
| CN108365231A (en) * | 2018-02-09 | 2018-08-03 | 上海亮仓能源科技有限公司 | A kind of batch manufacturing method of fuel cell membrane electrode |
| CN109859192A (en) * | 2019-02-01 | 2019-06-07 | 东莞中科蓝海智能视觉科技有限公司 | The detection recognition method of round high reflective workpiece |
| 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 |
| CN211426315U (en) * | 2019-11-11 | 2020-09-04 | 深圳市世椿智能装备股份有限公司 | Defect detection equipment for gas diffusion layer of hydrogen fuel cell |
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