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International Journal for Multiscale Computational Engineering

年間 6 号発行

ISSN 印刷: 1543-1649

ISSN オンライン: 1940-4352

The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) IF: 1.4 To calculate the five year Impact Factor, citations are counted in 2017 to the previous five years and divided by the source items published in the previous five years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) 5-Year IF: 1.3 The Immediacy Index is the average number of times an article is cited in the year it is published. The journal Immediacy Index indicates how quickly articles in a journal are cited. Immediacy Index: 2.2 The Eigenfactor score, developed by Jevin West and Carl Bergstrom at the University of Washington, is a rating of the total importance of a scientific journal. Journals are rated according to the number of incoming citations, with citations from highly ranked journals weighted to make a larger contribution to the eigenfactor than those from poorly ranked journals. Eigenfactor: 0.00034 The Journal Citation Indicator (JCI) is a single measurement of the field-normalized citation impact of journals in the Web of Science Core Collection across disciplines. The key words here are that the metric is normalized and cross-disciplinary. JCI: 0.46 SJR: 0.333 SNIP: 0.606 CiteScore™:: 3.1 H-Index: 31

Indexed in

MULTISCALE ANALYSIS OF STOCHASTIC FLUCTUATIONS OF DYNAMIC YIELD OF MAGNETORHEOLOGICAL FLUIDS

巻 9, 発行 2, 2011, pp. 175-191
DOI: 10.1615/IntJMultCompEng.v9.i2.30
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要約

The classical visco-plastic models of magnetorheological fluids are essentially phenomenological macroscale descriptions of fluids, incapable of revealing the interaction between suspensions and carrier fluids that results in a stochastic fluctuation of dynamic yield, and incapable of reflecting the impact of external magnetic fields on this fluctuation as well. In the present paper, the dynamical yield behavior of magnetorheological fluids is investigated by upscaling the information of the microscale interaction between particles, employing a large-scale molecular dynamical simulation technique, to the macroscale bulk behavior. We thus conduct a multiscale model of dynamic yield of magnetorheological fluids based on the conservation principle of system energy at different scales, so as to provide seamless information passing. The investigation reveals that the dynamic yield exhibits nonlinear and stochastic fluctuations due to the heterogeneity of sequence and number of cluster-sheet reconstructions with shear fields loading, and the Brownian motion of suspensions with initial random conditions. Besides, we investigate the thermal fluctuation of microscale particle motion, the variation of the relationship between stress and strain, and the variation of the constitutive relationship of shear rate. It is noted that the microscale thermal fluctuation is far more than the macroscale variation since that the upscaling from the microscale to the macroscale results in the degradation of fluctuations. The macroscale variation, meanwhile, is still significant, which is supposed to be considered in the design and optimization of magnetorheological fluids.

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