ELECTROMAGNETISM, OPTICS, ACOUSTICS, HEAT TRANSFER, CLASSICAL MECHANICS, AND FLUID DYNAMICS |
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Investigation of cavitation bubble collapse in hydrophobic concave using the pseudopotential multi-relaxation-time lattice Boltzmann method |
Minglei Shan(单鸣雷)1,†, Yu Yang(杨雨)1, 2, Xuemeng Zhao(赵雪梦)1, Qingbang Han(韩庆邦)1, and Cheng Yao(姚澄)1 |
1 Jiangsu Key Laboratory of Power Transmission and Distribution Equipment Technology, Hohai University, Changzhou 213022, China; 2 College of Computer and Information, Hohai University, Nanjing 210000, China |
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Abstract The interaction between cavitation bubble and solid surface is a fundamental topic which is deeply concerned for the utilization or avoidance of cavitation effect. The complexity of this topic is that the cavitation bubble collapse includes many extreme physical phenomena and variability of different solid surface properties. In the present work, the cavitation bubble collapse in hydrophobic concave is studied using the pseudopotential multi-relaxation-time lattice Boltzmann model (MRT-LB). The model is modified by involving the piecewise linear equation of state and improved forcing scheme. The fluid-solid interaction in the model is employed to adjust the wettability of solid surface. Moreover, the validity of the model is verified by comparison with experimental results and grid-independence verification. Finally, the cavitation bubble collapse in a hydrophobic concave is studied by investigating density field, pressure field, collapse time, and jet velocity. The superimposed effect of the surface hydrophobicity and concave geometry is analyzed and explained in the framework of the pseudopotential LBM. The study shows that the hydrophobic concave can enhance cavitation effect by decreasing cavitation threshold, accelerating collapse and increasing jet velocity.
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Received: 10 September 2020
Revised: 28 October 2020
Accepted manuscript online: 01 December 2020
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Fund: Project supported by the National Natural Science Foundation of China (Grant Nos. 11874140 and 11574072), the Fund from the State Key Laboratory of Acoustics, Chinese Academy of Sciences (Grant No. SKLA201913), the National Key Research and Development Program of China (Grant No. 2016YFC0401600), and the Postgraduate Research & Practice Innovation Program of Jiangsu Province, China (Grant Nos. 2018B741X14 and KYCX18\textunderscore 0552). |
Corresponding Authors:
†Corresponding author. E-mail: shanming2003@126.com
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Cite this article:
Minglei Shan(单鸣雷), Yu Yang(杨雨), Xuemeng Zhao(赵雪梦), Qingbang Han(韩庆邦), and Cheng Yao(姚澄) Investigation of cavitation bubble collapse in hydrophobic concave using the pseudopotential multi-relaxation-time lattice Boltzmann method 2021 Chin. Phys. B 30 044701
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1 Li D, Kang Y, Wang X C, Ding X L and Fang Z L 2016 Exp. Therm. Fluid Sci. 74 444 2 Li M D, Bussonni\`ere A, Bronson M, Xu Z H and Liu Q X 2019 Miner. Eng. 132 268 3 Belova V, Krasowska M, Wang D Y, Ralston J and Helmuth Möhwald 2013 Chem. Sci. 4 248 4 Wang Z D, Yang J F, Wei Y K and Qian Y H 2013 Chin. Phys. Lett. 30 094703 5 Xie H Q, Zeng Z and Zhang L Q 2016 Chin. Phys. B 25 014702 6 Zuo H, Deng S C and Li H B 2019 Chin. Phys. B 28 030202 7 Chai Z H and Shi B C 2020 Phys. Rev. E 102 023306 8 Shen L Y, Tang G H, Li Q and Yu S 2019 Langmuir 35 9430 9 Kang H Y, Louren\cco Sérgio D N and Yan W M 2018 Phys. Rev. E 98 012902 10 Gan Y, Xu A, Zhang G and Succi S 2015 Soft Matter 11 5336 11 Gan Y, Xu A, Zhang G, Zhang Y and Succi S 2018 Phys. Rev. E 97 053312 12 Ezzatneshan E 2017 Phys. Fluids 29 113304 13 Shan M L, Zhu C P, Yao C, Yin C and Jiang X Y 2016 Chin. Phys. B 25 104701 14 Shan M L, Zhu C P, Zhou X, Yin C and Han Q B 2016 J. Hydrodyn. Ser. B 28 442 15 Zhu Y P, Shan M L, Yang Y, Han Q B, Zhu C P and Zhang X W 2018 Appl. Sci. 8 940 16 Yang Y, Shan M L, Kan X F, Shangguan Y Q and Han Q B 2019 Ultrason. Sonochem. 62 104873 17 Li Q, Luo K H and Li X J 2013 Phys. Rev. E 87 053301 18 Li Q, Luo K H, Kang Q J and Chen Q 2014 Phys. Rev. E 90 053301 19 Shan X W and Chen H D 1993 Phys. Rev. E 47 1815 20 Qian Y, D'Humie\`res D, and Lallemand P 1992 Europhys. Lett. 17 479 21 Shizgal B D and Weave D P1992 Rarefied Gas Dynamics: Theoretical and Computational Techniques(AIAA, Washington, DC) pp. 450-458 22 Shan X W 2008 Phys. Rev. E 77 066702 23 Chai Z H, Shi B C and Guo Z L 2016 J. Sci. Comput. 69 355 24 Guo Z L, Zheng C G and Shi B C 2002 Phys. Rev. E 65 046308 25 Chai Z H and Zhao T S 2012 Phys. Rev. E 86 016705 26 Martys N S and Chen H 1996 Phys. Rev. E 53 743 27 Yuan P and Schaefer L 2006 Phys. Fluids 18 329 28 Colosqui C E, Falcucci G, Ubertini S and Succi S 2012 Soft Matter 8 3798 29 Li Q and Luo K H 2013 Phys. Rev. E 88 053307 30 Mohamad A2011 The Lattice Boltzamnn Method (New York: Springer International Publishing) pp. 155-175 31 Zou Q S and He X Y 1997 Phys. Fluids 9 1591 32 Maier R S, Bernard R S and Grunau D W 1996 Phys. Fluids 8 1788 |
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