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Impact of variable viscosity on peristaltic motion with entropy generation

机译:可变粘度对熵生成蠕动运动的影响

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Entropy generation is a crucial aspect of every heat transfer processes. It helps to reduce irreversibility factor in a system. Entropy generation analysis is important in many conventional industrial sectors wherever heat transfer and fluid flows are involved. Therefore, present investigation addresses the analysis of entropy generation for nanofluid flow driven by peristaltic mechanism through an asymmetric channel. Governing equations included the effects of thermophoresis, mixed convection and Brownian motion. Temperature dependent viscosity is also included. Buongiorno's model for the analysis of nanofluids is employed. Mathematical modeling incorporates long wavelength approximation. Built-in numerical solver NDSolve is utilized to obtain numerical results of arising nonlinear differential equations. Analysis has been presented for temperature, Bejan number, entropy generation, concentration profile, velocity profile, heat and mass transfer rates at channel wall. Outcomes exhibit effective decrease in entropy generation and temperature with an increment in viscosity parameter. Further, velocity and rate of heat transfer at boundary increase by enhancing the values of temperature Grashoff number.
机译:熵产生是每种传热过程的关键方面。它有助于减少系统中的不可逆转因素。在涉及传热和流体流动的许多传统工业领域,熵生成分析很重要。因此,本研究解决了通过不对称通道通过不对称机理驱动的纳米流体流动熵产生的分析。控制方程包括热孔,混合对流和布朗运动的影响。还包括温度依赖性粘度。采用Buongiorno分析纳米流体的模型。数学建模包括长波长近似。内置数值求解器NDSolve用于获得非线性微分方程的产生数值结果。在通道壁上呈现出温度,BEJAN数,熵产生,浓度曲线,速度曲线,热量和传质速率。结果表现出熵产生的有效减少,粘度参数增加。通过增强温度Grashoff数的值,进一步,速度和传热在边界的热传递速率。

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