Penetrative convection in a fluid saturated Darcy-Brinkman porous media with LTNE via internal heat source

IF 1.5 Q2 ENGINEERING, MECHANICAL Nonlinear Engineering - Modeling and Application Pub Date : 2019-01-28 DOI:10.1515/nleng-2018-0053
A. Mahajan, Reena Nandal
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引用次数: 9

Abstract

Abstract The present work involves the study of penetrative convection in an incompressible fluid-saturated porous media with local thermal non-equilibrium. The onset of convection evaluated linearly and nonlinearly for the system influenced by heat extraction and heat generation. Darcy-Brinkman law is employed to model the momentum equation and four type of internal heat generating function are considered which leads to thermo-convective instability within the fluid layer. Linear analysis carried out by using normal mode technique and nonlinear stability analysis has been done by energy method. Due to heat generation within the fluid layer and heat extraction through boundary, the subcritical instability may exist with higher possibility. Effects of various parameters as: inter-phase heat transfer parameter, Darcy-Brinkman number, porosity-modified conductivity ratio, and heat parameter are explored on Darcy-Rayleigh number by Chebyshev pseudospectral method as numerical form and graphical form.
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含LTNE的饱和达西-布林克曼多孔介质经内热源的渗透对流
摘要本文研究了不可压缩流体饱和多孔介质中具有局部热不平衡的渗透对流问题。对受热提取和热产生影响的系统进行了线性和非线性的对流开始评估。采用Darcy-Brinkman定律对动量方程进行建模,考虑了导致流体层内热对流不稳定的四种内部生热函数。采用正态模态技术进行了线性分析,采用能量法进行了非线性稳定性分析。由于流体层内产生热量和通过边界抽热,存在亚临界不稳定的可能性较大。采用Chebyshev伪谱方法,以数值形式和图形形式探讨了相间传热参数、Darcy-Brinkman数、孔隙率修正电导比、热参数等参数对Darcy-Rayleigh数的影响。
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来源期刊
CiteScore
6.20
自引率
3.60%
发文量
49
审稿时长
44 weeks
期刊介绍: The Journal of Nonlinear Engineering aims to be a platform for sharing original research results in theoretical, experimental, practical, and applied nonlinear phenomena within engineering. It serves as a forum to exchange ideas and applications of nonlinear problems across various engineering disciplines. Articles are considered for publication if they explore nonlinearities in engineering systems, offering realistic mathematical modeling, utilizing nonlinearity for new designs, stabilizing systems, understanding system behavior through nonlinearity, optimizing systems based on nonlinear interactions, and developing algorithms to harness and leverage nonlinear elements.
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