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具有温度依赖粘度、热导率和电导率的二维蠕动流中的熵研究

Investigation of Entropy in Two-Dimensional Peristaltic Flow with Temperature Dependent Viscosity, Thermal and Electrical Conductivity.

作者信息

Qasim Muhammad, Ali Zafar, Farooq Umer, Lu Dianchen

机构信息

Department of Mathematics, Faculty of Science, Jiangsu University, Zhenjiang 212013, China.

Department of Mathematics, COMSATS University Islamabad (CUI), 455000, Park Road, Tarlai Kalan, Islamabad 44000, Pakistan.

出版信息

Entropy (Basel). 2020 Feb 10;22(2):200. doi: 10.3390/e22020200.

DOI:10.3390/e22020200
PMID:33285976
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7516631/
Abstract

This study comprehensively explores the generalized form of two-dimensional peristaltic motions of incompressible fluid through temperature-dependent physical properties in a non-symmetric channel. Generation of entropy in the system, carrying Joule heat and Lorentz force is also examined. Viscous dissipation is not ignored, for viewing in-depth, effects of heat transmission and entropy production. The modeling of equations is tracked first in fixed and then in wave frame. The resultant set of coupled non-linear equations are solved numerically by utilizing NDSolve in Mathematica. Comparison between NDSolve and the numerical results obtained through bvp4c MATLAB is made for the validation of our numerical codes. The attained results are found to be in excellent agreement. The impact of control parameters on the velocity profiles, pressure gradient, heat transfer, streamlines and entropy production are studied and discussed graphically. It is witnessed that entropy production and heat transfer are increased significantly subject to the enhancement of Hartman number, Brinkman number and electrical conductivity parameter. Hence, choosing appropriate values of physical parameters, performance and efficiency of flow structure and system can be improved. The results reported provide a virtuous insight into bio energy systems providing a useful standard for experimental and extra progressive computational multiphysics simulations.

摘要

本研究全面探讨了不可压缩流体在非对称通道中通过与温度相关的物理性质进行的二维蠕动运动的广义形式。还研究了系统中携带焦耳热和洛伦兹力时的熵产生情况。为了深入观察热传递和熵产生的影响，粘性耗散不能被忽略。首先在固定坐标系中，然后在波动坐标系中对方程进行建模。利用Mathematica中的NDSolve对所得的耦合非线性方程组进行数值求解。将NDSolve的结果与通过MATLAB的bvp4c获得的数值结果进行比较，以验证我们的数值代码。结果发现两者非常吻合。通过图形研究和讨论了控制参数对速度分布、压力梯度、热传递、流线和熵产生的影响。可以看出，随着哈特曼数、布林克曼数和电导率参数的增加，熵产生和热传递显著增加。因此，选择合适的物理参数值，可以提高流动结构和系统的性能和效率。所报道的结果为生物能源系统提供了有益的见解，为实验和进一步的先进计算多物理场模拟提供了有用的标准。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e07f/7516631/2042b0fe1fdd/entropy-22-00200-g021.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e07f/7516631/e7eeb8c93282/entropy-22-00200-g016.jpg
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本文引用的文献

1
Analysis of intra-uterine fluid motion induced by uterine contractions.子宫收缩引起的子宫内液体运动分析。
Bull Math Biol. 1999 Mar;61(2):221-38. doi: 10.1006/bulm.1998.0069.
2
Magnetically induced electric fields and currents in the circulatory system.循环系统中的磁感应电场和电流。
Prog Biophys Mol Biol. 2005 Feb-Apr;87(2-3):279-88. doi: 10.1016/j.pbiomolbio.2004.08.003.
3
An active membrane model for peristaltic pumping: Part I--Periodic activation waves in an infinite tube.蠕动泵浦的主动膜模型：第一部分——无限长管道中的周期性激活波
J Biomech Eng. 1997 Feb;119(1):66-76. doi: 10.1115/1.2796066.
4
Peristaltic transport of a power-law fluid with variable consistency.具有可变稠度的幂律流体的蠕动输送。
J Biomech Eng. 1982 Aug;104(3):182-6. doi: 10.1115/1.3138346.
5
Peristaltic transport of a physiological fluid. Part-I. Flow in non-uniform geometry.生理流体的蠕动传输。第一部分。非均匀几何形状中的流动。
Biorheology. 1983;20(2):153-66. doi: 10.3233/bir-1983-20205.
6
Peristaltic transport of blood: Casson model--II.
J Biomech. 1984;17(11):821-9. doi: 10.1016/0021-9290(84)90140-4.
7
A long wave approximation to peristaltic motion.蠕动运动的长波近似
J Biomech. 1970 Jan;3(1):63-75. doi: 10.1016/0021-9290(70)90051-5.
8
Contractions of the inner third of the myometrium.子宫肌层内三分之一的收缩。
Am J Obstet Gynecol. 1990 Mar;162(3):679-82. doi: 10.1016/0002-9378(90)90983-e.
9
Pumping action on blood by a magnetic field.
Bull Math Biol. 1977;39(3):385-90. doi: 10.1007/BF02462917.