Flow Field of a Fuel Cell
US-2018076469-A1 · Mar 15, 2018 · US
US12423483B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-12423483-B2 |
| Application number | US-202117472110-A |
| Country | US |
| Kind code | B2 |
| Filing date | Sep 10, 2021 |
| Priority date | Sep 10, 2021 |
| Publication date | Sep 23, 2025 |
| Grant date | Sep 23, 2025 |
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One or more methods of designing an FC bipolar plate that enhance the operational performance of FC. A first image analysis is conducted of image data of a fluid flow field structure having one or more dehomogenized microstructures to identify channels having a fluid flow blockage at a channel wall dead-end. The channel wall dead-end of each identified channel is selectively removed in a manner that fluidically connects each identified channel to an adjacent channel. Then, a second image analysis of the image data is conducted in response to selectively removing the channel wall dead-ends to measure a length of each channel wall. Channels walls having a length greater than a threshold channel wall length value are selectively cut, thereby providing reduced fluid flow resistance throughout the FC.
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What is claimed is: 1. A method of designing a fluid flow field structure for a fuel cell bipolar plate, the method comprising, by one or more computing devices having one or more processors: conducting image analysis of image data of a fluid flow field structure having one or more dehomogenized microstructures to identify channels having a fluid flow blockage at a channel wall dead-end; and selectively removing, in response to the image analysis, the channel wall dead-end of each identified channel in a manner that fluidically connects each identified channel to an adjacent channel. 2. The method of claim 1 , wherein the dehomogenized microstructures comprise dehomogenized Turing-pattern microstructures. 3. The method of claim 1 , wherein conducting the image analysis comprises identifying fluid flow blockage at dead-ends as a first end point and identifying channel wall branches as a second end point. 4. The method of claim 3 , wherein conducting the image analysis comprises pairing each first endpoint with the second endpoint of an adjacent neighboring channel wall branch. 5. The method of claim 4 , wherein selectively removing comprises applying one or more cuts to a channel wall between the paired first endpoint and the second endpoint. 6. The method of claim 1 , further comprising, before conducting the image analysis, optimizing homogenized anisotropic porous media by iteratively executing a gradient-based algorithm that incorporates objective functions of reaction variation and flow resistance. 7. The method of claim 6 , further comprising generating the fluid flow field structure in response to optimizing homogenized anisotropic porous media. 8. A method of designing a fluid flow field structure for a fuel cell bipolar plate, the method comprising, by one or more computing devices having one or more processors: conducting image analysis of image data of a fluid flow field structure having one or more dehomogenized microstructures to measure a length of each channel wall in the fluid flow field structure; and selectively cutting, in response to the image analysis, channels walls having a length greater than a threshold channel wall length value. 9. The method of claim 8 , wherein the dehomogenized microstructures comprise dehomogenized Turing-pattern microstructures. 10. The method of claim 8 , wherein selectively cutting comprises applying one or more cuts that are approximately perpendicular to the channel wall having a length greater than the threshold channel wall length value. 11. The method of claim 8 , wherein selectively cutting comprises applying one or more cuts that are approximately oblique to the channel wall having a length greater than the threshold channel wall length value. 12. The method of claim 8 , wherein conducting the image analysis comprises comparing the measured length value of each channel wall to the threshold channel wall length value. 13. The method of claim 8 , further comprising, before conducting the image analysis, optimizing homogenized anisotropic porous media by iteratively executing a gradient-based algorithm that incorporates objective functions of reaction variation and flow resistance. 14. The method of claim 13 , further comprising generating the fluid flow field structure in response to optimizing homogenized anisotropic porous media. 15. A method of designing a fluid flow field structure for a fuel cell bipolar plate, the method comprising, by one or more computing devices having one or more processors: conducting a first image analysis of image data of a fluid flow field structure having one or more dehomogenized microstructures to identify channels having a fluid flow blockage at a channel wall dead-end; selectively removing, in response to the image analysis, the channel wall dead-end of each identified channel in a manner that fluidically connects each identified channel to an adjacent channel; conducting, in response to selectively removing the channel wall dead-end, a second image analysis of the image data to measure a length of each channel wall in the fluid flow field structure; and selectively cutting, in response to the second image analysis, channels walls having a length greater than a threshold channel wall length value. 16. The method of claim 15 , wherein the dehomogenized microstructures comprise dehomogenized Turing-pattern microstructures. 17. The method of claim 15 , wherein: conducting the first image analysis comprises identifying fluid flow blockage at dead-ends as a first end point and identifying channel wall branches as a second end point, and pairing each first endpoint with the second endpoint of an adjacent neighboring channel wall branch; and selectively removing comprises applying one or more cuts to a channel wall between the paired first endpoint and the second endpoint. 18. The method of claim 15 , wherein conducting the second image analysis comprises comparing the measured length value of each channel wall to the threshold channel wall length value. 19. The method of claim 15 , further comprising, before conducting the first image analysis, optimizing homogenized anisotropic porous media by iteratively executing a gradient-based algorithm that incorporates objective functions of reaction variation and flow resistance. 20. The method of claim 15 , further comprising generating the fluid flow field structure in response to optimizing homogenized anisotropic porous media.
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