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非均匀通道中流动的纳米流体的热对流。

Thermal convection in nanofluids for peristaltic flow in a nonuniform channel.

机构信息

Mathematics Department, Al-Qunfudah University College, Umm Al-Qura University, Mecca, Kingdom of Saudi Arabia.

Department of Mathematics, COMSATS University Islamabad, Attock Campus, Kamra Road, Attock, 43600, Pakistan.

出版信息

Sci Rep. 2022 Jul 25;12(1):12656. doi: 10.1038/s41598-022-16600-w.

DOI:10.1038/s41598-022-16600-w
PMID:35879600
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9314392/
Abstract

A magneto couple stress nanofluid flow along with double diffusive convection is presented for peristaltic induce flow through symmetric nonuniform channel. A comprehensive mathematical model is scrutinized for couple stress nanofluid magneto nanofluids and corresponding equations of motions are tackled by applying small Reynolds and long wavelength approximation in viewing the scenario of the biological flow. Computational solution is exhibited with the help of graphical illustration for nanoparticle volume fraction, solutal concentration and temperature profiles in MATHEMTICA software. Stream function is also computed numerically by utilizing the analytical expression for nanoparticle volume fraction, solutal concentration and temperature profiles. Whereas pressure gradient profiles are investigated analytically. Impact of various crucial flow parameter on the pressure gradient, pressure rise per wavelength, nanoparticle volume fraction, solutal concentration, temperature and the velocity distribution are exhibited graphically. It has been deduced that temperature profile is significantly rise with Brownian motion, thermophoresis, Dufour effect, also it is revealed that velocity distribution really effected with strong magnetic field and with increasing non-uniformity of the micro channel. The information of current investigation will be instrumental in the development of smart magneto-peristaltic pumps in certain thermal and drug delivery phenomenon.

摘要

本文针对对称非均匀通道中磁偶应力纳米流体的双扩散对流蠕动诱导流进行了研究。在考虑生物流动情况下，应用小雷诺数和长波长近似，对磁偶应力纳米流体的耦合应力纳米流体进行了全面的数学模型分析，并对相应的运动方程进行了处理。在 MATHEMTICA 软件中，通过图形展示了纳米粒子体积分数、溶质浓度和温度分布的计算解。通过利用纳米粒子体积分数、溶质浓度和温度分布的解析表达式，对流函数进行了数值计算。而压力梯度分布则通过解析方法进行了研究。以图形方式展示了各种关键流动参数对压力梯度、每波长压力升高、纳米粒子体积分数、溶质浓度、温度和速度分布的影响。结果表明，布朗运动、热泳、杜弗尔效应都会显著提高温度分布，同时还揭示了强磁场和微通道非均匀性的增加对速度分布的实际影响。本研究的信息将有助于开发某些热和药物输送现象中的智能磁蠕动泵。

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