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Mesoscopic predictions of the effective thermal conductivity for microscale random porous media
Wang, Moran ; Wang, Jinku ; Pan, Ning ; Chen, Shiyi
2010-05-10 ; 2010-05-10
关键词LATTICE BOLTZMANN METHOD CONJUGATE HEAT-TRANSFER SOLID COMPOSITE-MATERIALS BOUNDARY-CONDITIONS MODEL TEMPERATURE SIMULATIONS MICROCHANNELS DEPENDENCE POROSITY Physics, Fluids & Plasmas Physics, Mathematical
中文摘要A mesoscopic numerical tool has been developed in this study for predictions of the effective thermal conductivities for microscale random porous media. To solve the energy transport equation with complex multiphase porous geometries, a lattice Boltzmann algorithm has been introduced to tackle the conjugate heat transfer among different phases. With boundary conditions correctly chosen, the algorithm has been initially validated by comparison with theoretical solutions for simpler cases and with the existing experimental data. Furthermore, to reflect the stochastic phase distribution characteristics of most porous media, a random internal morphology and structure generation-growth method, termed the quartet structure generation set (QSGS), has been proposed based on the stochastic cluster growth theory for generating more realistic microstructures of porous media. Thus by using the present lattice Boltzmann algorithm along with the structure generating tool QSGS, we can predict the effective thermal conductivities of porous media with multiphase structure and stochastic complex geometries, without resorting to any empirical parameters determined case by case. The methodology has been applied in this contribution to several two- and three-phase systems, and the results agree well with published experimental data, thus demonstrating that the present method is rigorous, general, and robust. Besides conventional porous media, the present approach is applicable in dealing with other multiphase mixtures, alloys, and multicomponent composites as well.
语种英语 ; 英语
出版者AMERICAN PHYSICAL SOC ; COLLEGE PK ; ONE PHYSICS ELLIPSE, COLLEGE PK, MD 20740-3844 USA
内容类型期刊论文
源URL[http://hdl.handle.net/123456789/22583]  
专题清华大学
推荐引用方式
GB/T 7714
Wang, Moran,Wang, Jinku,Pan, Ning,et al. Mesoscopic predictions of the effective thermal conductivity for microscale random porous media[J],2010, 2010.
APA Wang, Moran,Wang, Jinku,Pan, Ning,&Chen, Shiyi.(2010).Mesoscopic predictions of the effective thermal conductivity for microscale random porous media..
MLA Wang, Moran,et al."Mesoscopic predictions of the effective thermal conductivity for microscale random porous media".(2010).
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