Entropy generation of thermophysical properties on heat and mass transfer pulsatile flow of non-Newtonian nanofluid

F. D. Ayegbusi, A. Idowu
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Abstract

Purpose The purpose of this study is to investigate the effects of entropy generation of some embedded thermophysical properties on heat and mass transfer of pulsatile flow of non-Newtonian nanofluid flows between two porous parallel plates in the presence of Lorentz force are taken into account in this research. Design/methodology/approach The governing partial differential equations (PDEs) were nondimensionalized using suitable nondimensional quantities to transform the PDEs into a system of coupled nonlinear PDEs. The resulting equations are solved using the spectral relaxation method due to the effectiveness and accuracy of the method. The obtained velocity and temperature profiles are used to compute the entropy generation rate and Bejan number. The influence of various flow parameters on the velocity, temperature, entropy generation rate and Bejan number are discussed graphically. Findings The results indicate that the energy losses can be minimized in the system by choosing appropriate values for pertinent parameters; when thermal conductivity is increasing, this leads to the depreciation of entropy generation, and while this increment in thermal conductivity appreciates the Bejan number, the Eckert number on entropy generation and Bejan number, the graph shows that each time of increase in Eckert will lead to rising of entropy generation while this increase shows a reduction in Bejan number. To shed more light, these results were further demonstrated graphically. The current research was very well supported by prior literature works. Originality/value All results are presented graphically, and the results in this article are anticipated to be helpful in the area of engineering.
非牛顿纳米流体传热和传质脉动流的热物理性质熵生成
本研究的目的是探讨在存在洛伦兹力的情况下,某些嵌入式热物理性质的熵产生对两块多孔平行板之间非牛顿纳米流体脉动流的传热和传质的影响。设计/方法/途径利用合适的非量对支配偏微分方程(PDEs)进行了非量化,从而将 PDEs 转化为耦合非线性 PDEs 系统。由于频谱松弛法的有效性和准确性,因此采用该方法求解得到的方程。得到的速度和温度曲线用于计算熵产生率和贝扬数。图解讨论了各种流动参数对速度、温度、熵产生率和贝扬数的影响。结果结果表明,通过选择适当的相关参数值,可以最大限度地减少系统中的能量损失;当热导率增加时,会导致熵产生率下降,而热导率的增加会提高贝扬数、埃克特数对熵产生率和贝扬数的影响,从图中可以看出,埃克特数每次增加都会导致熵产生率上升,而熵产生率的增加会导致贝扬数下降。为了更清楚地说明这些结果,还进一步用图表进行了展示。原创性/价值所有结果都以图表形式呈现,预计本文的结果将对工程领域有所帮助。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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