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- In relation to this article, we declare that there is no conflict of interest.
- Publication history
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Received September 9, 2022
Revised December 29, 2022
Accepted January 31, 2023
- Acknowledgements
- This work is supported by the National Natural Science Foundation of China (No. 51779025), Natural Science Foundation of Liaoning Province (No. 2020-HYLH-38), and Science and Technology Innovation Foundation of Dalian, China (2021JJ11CG004).
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Simulation of the purging process of randomly distributed droplets in a gas diffusion layer using lattice Boltzmann method
Guogang Yang†
Jiadong Liao†
Qiuwan Shen†
Shian Li
Ziheng Jiang
Hao Wang
Zheng Li
Guoling Zhang
Naibao Huang
Marine Engineering College, Dalian Maritime University, Dalian, 116000, China
ljddmu@dlmu.edu.cn, shenqiuwan@dlmu.edu.cn
Korean Journal of Chemical Engineering, July 2023, 40(7), 1623-1632(10), 10.1007/s11814-023-1427-x
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Abstract
Droplet purging in the gas diffusion layer (GDL) is the key to improving the performance of proton
exchange membrane fuel cells (PEMFCs). Lattice Boltzmann method (LBM) is used to study the dynamic behavior of
multiple droplets randomly distributed in the GDL under air purging. The GDL is randomly reconstructed. The effects
of rib width, initial water content, contact angle and air velocity are studied. By analyzing the dynamic distribution of
droplets in the GDL and the change of the remaining water content with time, it is found that the droplets are only a
small amount under the rib and accumulated mostly on both sides of the GDL at stabilization, which is caused by the
large velocity under the rib. The residual water content in the GDL increases with the increase of the initial water content, and decreases with the increase of the rib width, contact angle and air velocity. However, when the rib to channel
width ratio exceeds 1, the improvement of purging effect is not obvious, the purging time increases significantly, and
the increase of air velocity does not help much to remove the droplets accumulated on both sides of the GDL.
Keywords
References
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44. M. R. Swift, W. R. Osborn and J. M. Yeomans, Phys. Rev. Lett.,75(5), 830 (1995).
45. J. Park and X. Li, J. Power Sources, 178, 248 (2008).
46. L. Chen, H. B. Luan and W. Q. Tao, Front. Heat Mass Transf., 1(2) 023002 (2010).
47. J. D. Liao, G. G. Yang, Q. W. Shen, S. A. Li, Z. H. Jiang, H. Wang,
Z. H. Sheng, G. L. Zhang and H. P. Zhang, Energy Fuels, 35(20),16799 (2021).
48. H. B Huang, M. Sukop and X. Y. Lu, Multiphase lattice Boltzmann methods: Theory and application, Wiley, New York, 79 (2015).
49. T. V. Nguyen, J. Electrochem. Soc., 143(5), 103 (1996).
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54. Q. S. Zou and X. Y. He, Phys. Fluids, 9, 1591 (1997).
55. J. P. Owejan, J. J. Gagliardo, S. R. Falta and T. A. Trabold, J. Electrochem. Soc., 156(12), B1475 (2009).
56. K. T. Cho and M. M. Mench, Int. J. Hydrog. Energy, 35(22), 12329 (2010).
57. P. Xu and S. Xu, Fuel Cells, 17(6), 794 (2017)
