带有回旋微生物的麦克斯韦纳米流体中的生物对流:粘弹性流动动力学、参数影响和新兴应用的综合综述

IF 7.9 Q1 ENGINEERING, MULTIDISCIPLINARY
Ganesan Subbaiah , Deepak K , Honganur Raju Manjunath , Sikata Samantaray , Jyotirmaya Sahoo , Vishal Sandhwar , Kamakshi Priya Kumar
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引用次数: 0

摘要

包含回旋微生物的粘弹性麦克斯韦纳米流体中的生物对流已经成为一个关键的研究领域,因为它在生物医学微流体、芯片上实验室系统的热调节和能量传输机制中具有重要意义。这些纳米流体以其依赖记忆的流动特性和优越的热物理特性而出名,与微生物(如nivalischlamydomonas)的向上运动相结合,建立有组织的对流卷,显著影响传热和传质现象。本文综合了2019年至2024年的文献,包括数学公式、相似变换、采用龙格-库塔(RK4)射击方法、MATLAB的BVP4c求解器和有限元分析技术的数值模拟。特别关注的是线性拉伸表面结构,以及圆柱形和倾斜几何形状,以阐明粘弹性效应、热泳动、布朗运动、磁场和微生物运动对流动动力学的控制作用。有文献记载的研究结果表明,热传输的显著增强,在不同的配置中,努塞尔数从1.8到4.2不等,在磁场影响下,壁面剪切应力减少超过25%,并且在运动水平升高时,出现了更尖锐的对流驱动的微生物羽流。强调了生物mems器件,靶向药物输送机制和纳米生物反应器的实际影响,其中热量和质量传输的调节至关重要。该综述独特地融合了有关混合纳米流体设计,人工智能(AI)和基于机器学习(ML)的预测建模的讨论,用于利用微piv和全息速度测量优化实验验证的参数和途径,从而为理论见解应用于先进的热流体和生物医学创新提供了战略框架。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Bioconvection in Maxwell nanofluids with gyrotactic microorganisms: A comprehensive review of viscoelastic flow dynamics, parametric influences, and emerging applications
Bioconvection within viscoelastic Maxwell nanofluids that encompass gyrotactic microorganisms has emerged as a pivotal domain of inquiry owing to its significance in biomedical microfluidics, thermal regulation in lab-on-chip systems, and energy transport mechanisms. These nanofluids, distinguished by their memory-dependent flow characteristics and superior thermophysical attributes, engage with the upward locomotion of microorganisms such as Chlamydomonas nivalis to establish organized convection rolls that markedly affect heat and mass transfer phenomena. This review synthesizes literature from the years 2019 to 2024, encompassing mathematical formulations, similarity transformations, and numerical simulations employing Runge–Kutta (RK4) shooting methodologies, MATLAB's BVP4c solver, and finite element analytical techniques. A particular focus is directed toward linearly stretching surface configurations, along with cylindrical and inclined geometries, to elucidate the governing roles of viscoelastic effects, thermophoresis, Brownian motion, magnetic fields, and microorganism motility on flow dynamics. Documented findings indicate substantial enhancements in thermal transport, with Nusselt numbers varying from 1.8 to 4.2 across diverse configurations, a reduction exceeding 25 % in wall shear stress under magnetic influence, and the emergence of sharper, convection-driven microbial plumes at elevated motility levels. Practical ramifications are underscored for bio-MEMS devices, targeted drug delivery mechanisms, and nanobioreactors, wherein the regulation of heat and mass transport is of paramount importance. The review distinctively amalgamates discussions pertaining to hybrid nanofluid design, artificial intelligence (AI), and machine learning (ML)-based predictive modeling for the optimization of parameters and pathways for experimental validation utilizing micro-PIV and holographic velocimetry, thereby providing a strategic framework for the application of theoretical insights into advanced thermal-fluid and biomedical innovations.
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来源期刊
Results in Engineering
Results in Engineering Engineering-Engineering (all)
CiteScore
5.80
自引率
34.00%
发文量
441
审稿时长
47 days
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