A study of cavitation nucleation in pure water using molecular dynamics simulation
Hua Xie(谢华)1,†, Yuequn Xu(徐跃群)1,2, and Cheng Zhong(钟成)3,‡
1 School of Water Resources and Hydropower Engineering, Wuhan University, Wuhan 430072, China; 2 Hangzhou Water Resources and Hydropower Survey and Design Institute Co., Ltd, Hangzhou 310016, China; 3 College of Chemistry and Molecular Sciences, Wuhan University, Wuhan 430072, China
Abstract To discover the microscopic mechanism responsible for cavitation nucleation in pure water, nucleation processes in pure water are simulated using the molecular dynamics method. Cavitation nucleation is generated by uniformly stretching the system under isothermal conditions, and the formation and development of cavitation nuclei are simulated and discussed at the molecular level. The processes of energy, pressure, and density are analyzed, and the tensile strength of the pure water and the critical volume of the bubble nuclei are investigated. The results show that critical states exist in the process of cavitation nucleation. In the critical state, the energy, density, and pressure of the system change abruptly, and a stable cavitation nucleus is produced if the energy barrier is broken and the critical volume is exceeded. System pressure and water density are the key factors in the generation of cavitation nuclei. When the critical state is surpassed, the liquid is completely ruptured, and the volume of the cavitation nucleus rapidly increases to larger than 100 nm3; at this point, the surface tension of the bubble dominates the cavitation nucleus, instead of intermolecular forces. The negative critical pressure for bubble nucleation is -198.6 MPa, the corresponding critical volume is 13.84 nm3, and the nucleation rate is 2.42×1032 m-3·-1 in pure water at 300 K. Temperature has a significant effect on nucleation: as the temperature rises, nucleation thresholds decrease, and cavitation nucleation occurs earlier.
Hua Xie(谢华), Yuequn Xu(徐跃群), and Cheng Zhong(钟成) A study of cavitation nucleation in pure water using molecular dynamics simulation 2022 Chin. Phys. B 31 114701
[1] Franc J P and Michel J M 2017 Fundamentals of Cavitation (Dordrecht: Springer) p. 1 [2] Skripov V P and Katz J L 1975 Phys. Today28 57 [3] Pan S and Peng X 2013 Physical Mechanism of Cavitation (Beijing: National Defense Industry Press) p. 15 (in Chinese) [4] Balibar S and Caupin F 2003 J. Phys.: Condens. Mat. 15 S75 [5] Brennen C E 1995 Cavitation and Bubble Dynamics (Oxford: Oxford University Press) pp. 19-22 [6] Caupin F and Herbert E 2006 C. R. Physique7 1000 [7] Kashchiev D 2000 Nucleation: Theory and Basic Applications (Oxford: Butterworth-Heinemann) pp. 58-69 [8] Kalikmanov V I 2013 Nucleation Theory (Dordrecht: Springer) pp. 17-41 [9] Wang L P, Kong W L, Bian P X, Wang F X and Liu H 2021 Chin. Phys. B30 068203 [10] Caupin F 2005 Phys. Rev. E71 051605 [11] Kwak H Y and Panton R L 1983 J. Chem. Phys. 78 5795 [12] Kwak H Y and Panton R L 1985 J. Phys. D Appl. Phys.18 647 [13] Briggs L J 1950 J. Appl. Phys.21 721 [14] Caupin F 2015 J. Non-Cryst. Solids407 441 [15] Gu Y W 2016 Experiments and Molecular Dynamics Simulation on Cavitation Inception in Liquid (MS dissertation) (Beijing: Tsinghua University) (in Chinese) [16] Alder B J and Wainwright T E 1957 J. Chem. Phys.27 1208 [17] Li J and Zhang B K 2019 Chin. Phys. B28 126101 [18] Cui S W, Wei J A, Liu W W, Zhu R Z and Qian P 2019 Chin. Phys. B28 016801 [19] Cui S W, Wei J A, Li Q, Liu W W, Qian P and Wang X S 2021 Chin. Phys. B30 016801 [20] Tian X F, Long C S, Zhu Z H and Gao T 2010 Chin. Phys. B19 057102 [21] Gong H F, Liu M, Gao F, Li R, Yan Y, Huang H, Liu T and Ren Q S 2017 Chin. Phys. B26 113401 [22] Liu Y W and Zhang X R 2018 Chin. Phys. B27 014401 [23] Xu D Y and Li D Y 2014 Collection in Encyclopedia of Microfluidics and Nanofluidics (Boston: Springer) pp. 1-10 [24] Zhan S, Duan H T, Pan L, Tu J, Jia D, Yang T and Li J. 2021 Phys. Chem. Chem. Phys.23 8446 [25] Kinjo T and Matsumoto M 1998 Fluid Phase Equilibr.144 343 [26] Sekine M, Yasuoka K, Kinjo T and Matsumoto M 2009 Fluid Dyn. Res.40 597 [27] Tsuda S, Takagi S and Matsumoto Y 2008 Fluid Dyn. Res.40 606 [28] Chen Y, Zou Y, Sun D, Wang Y and Yu Bo 2018 Int. J. Heat Mass Transfer118 1143 [29] Baidakov V G and Bryukhanov V M 2018 Chem. Phys. Lett.713 85 [30] Malyshev V L, Marin D F, Moiseeva E F, Gumerov N A and Akhatov I S 2015 High Temp.53 406 [31] González M A, Menzl G, Aragones J L, Geiger P, Caupin F, Abascal JLF, Dellago C and Valeriani C 2014 J. Chem. Phys. 141 18C511 [32] Wang P, Gao W, Wilkerson J and Liechti KM, Huang R 2017 Extreme Mech. Lett.11 59 [33] Liu Z, Ji C, Wang B and Sun S 2019 Micro & Nano Lett. 14 1041 [34] Li B, Gu Y and Chen M 2019 Ultrason. Sonochem.51 120 [35] Pellegrin M, Bouret Y, Celestini F and Noblin X 2020 Langmuir36 14181 [36] Wu Y T and Adnan A 2020 Multiscale Sci. Eng. 2 127 [37] Dockar D, Gibelli L and Borg M K 2021 Soft Matter17 6884 [38] Woodcock L V 1971 Chem. Phys. Lett.10 257 [39] Allen M P and Tildesley D J 2017 Computer Simulation of Liquids (Second Edition) (Oxford university Press) p. 63 [40] Verlet L 1967 Phys. Rev.159 98 [41] Pan C 2017 A Study on Electrostatics Algorithms in Molecular Simulations (Ph.D. dissertation) (Changchun: Jilin University) (in Chinese) [42] Wedekind J, Reguera D and Strey R 2006 J. Chem. Phys.125 214505 [43] Hess B, Bekker H, Berendsen H J C and Fraaije J 1997 J. Comput. Chem.18 1463 [44] Born M 1920 Z. Phys.1 45 [45] Joegensen W L, Chandrasekhar J and Madura J D 1983 J. Chem. Phys.79 926 [46] Berendsen H J C, Grigera J R and Straatsma T P 1987 J. Chem. Phys.91 6269 [47] Horn H W, Swope W C, Pitera J W, Madura J D, Dick T J, Hura G L and Gordon T H 2004 J. Chem. Phys.120 9665 [48] Mahoney M W and Jorgensen W L 2000 J. Chem. Phys.112 8910 [49] Saeed I, Ramu A and Alexey V O 2014 J. Chem. Phys. Lett.5 3863 [50] Wang L P, Martinez T J and Pande V S 2014 J. Phys. Chem. Lett.5 1885 [51] Kuksin A Y, Norman G E, Pisarev V V, Stegailov V V and Yanilkin A V 2010 High Temp.48 511 [52] Sastry S, Debenedetti P G and Stillinger F H 1997 Phys. Rev. E56 5533 [53] Neimark A V and Vishnyakov A 2005 J. Chem. Phys.122 054707 [54] Abascal J L F, Gonzalez M A, Aragones J L and Valeriani C 2013 J. Chem. Phys.138 084508 [55] Rycroft C H 2009 Chaos19 041111 [56] Berendsen H J C, Postma J P M, Van Gunsteren W F, DiNola A and Haak J R 1984 J. Chem. Phys.81 3684 [57] Amini M, Eastwood J W and Hockney R W 1987 Comput. Phys. Commun.44 83 [58] Reguera D, Rubi J M and Pérez-Madrid A 1998 Physica A259 10
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