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Magnetorheological fluids particles simulation through integration of Monte Carlo method and GPU accelerated technology

by Xinhua Liu1, Yongzhi Liu1, Hao Liu1

School of Mechanical and Electrical Engineering, China University of Mining & Technology, Xuzhou, China
Corresponding author: Dr. Xinhua Liu, Tel.: +86-516-83884512, Fax: +86-516-83884512. E-mail address: l_xinhua_2006@126.com

Computer Modeling in Engineering & Sciences 2013, 91(1), 65-80. https://doi.org/10.3970/cmes.2013.091.065

Abstract

In order to study the rheological characteristics of magnetorheological fluids, a simulation approach through integration of Monte Carlo method and GPU accelerated technology was proposed and the three-dimensional micro-structure of magnetic particles in different strength magnetic fields were simulated. The Monte Carlo method to magnetic particles of magnetorheological fluids and its key steps such as particle modeling, magnetic energy equations calculating and system state updating were elaborated. Moreover, GPU accelerated technology was applied to the simulation of magnetorheological fluids to reduce computational time and a flowchart for the proposed approach was designed. Finally, a physics experiment was carried out and the three-dimensional simulation examples were provided. The comparison results indicated that proposed approach was feasible, efficient and outperforming others.

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APA Style
Liu, X., Liu, Y., Liu, H. (2013). Magnetorheological fluids particles simulation through integration of monte carlo method and GPU accelerated technology. Computer Modeling in Engineering & Sciences, 91(1), 65-80. https://doi.org/10.3970/cmes.2013.091.065
Vancouver Style
Liu X, Liu Y, Liu H. Magnetorheological fluids particles simulation through integration of monte carlo method and GPU accelerated technology. Comput Model Eng Sci. 2013;91(1):65-80 https://doi.org/10.3970/cmes.2013.091.065
IEEE Style
X. Liu, Y. Liu, and H. Liu, “Magnetorheological fluids particles simulation through integration of Monte Carlo method and GPU accelerated technology,” Comput. Model. Eng. Sci., vol. 91, no. 1, pp. 65-80, 2013. https://doi.org/10.3970/cmes.2013.091.065



cc Copyright © 2013 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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