Numerical study for bioconvection in Marangoni convective flow of Cross nanofluid with convective boundary conditions

M. Abbas, Nargis Khan
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Abstract

The current study investigates incompressible, MHD flow of Cross nanofluid containing of gyrotactic microorganisms and thermophoretic particle deposition over a sheet with activation energy and variable thermal conductivity. The variable characteristic of thermal conductivity is considered as a linear function of temperature. The present study’s insights can optimize the design of nanofluid-based systems, enhance drug delivery methods, improve environmental monitoring, refine materials engineering, advance microfluidics for diagnostics, boost renewable energy technologies, and upgrade electronics cooling solutions. Moreover, this study contribution to scientific understanding will catalyze further research across disciplines, fostering innovation and progress. Cross nanofluid containing iron oxide [Formula: see text] nanoparticles, and based fluid ethylene glycol ([Formula: see text] is used. In the current study, distributions of concentration, temperature, mass, microorganisms, and flow are examined in the presence of nanofluid while also accounting for thermophoretic particle deposition and a heat source. The proposed flow equations are transmuted into ODEs by employing the suitable similarity variables. RKF-45th approach is used to evaluate the reduced equations. Graphs are used to determine the effects of important factors on thermal, microorganism, concentration, and flow profiles. With a rise in the Marangoni ratio parameter, the velocity distribution is enhanced, whereas the temperature distribution exhibit inverse behavior.
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带对流边界条件的 Cross 纳米流体马兰戈尼对流中的生物对流数值研究
本研究探讨了含有回旋微生物的 Cross 纳米流体的不可压缩 MHD 流动,以及粒子在具有活化能和可变热导率的薄片上的热泳沉积。热导率的可变特性被视为温度的线性函数。本研究的见解可优化基于纳米流体的系统设计、增强药物输送方法、改善环境监测、完善材料工程、推进微流体诊断、促进可再生能源技术以及升级电子冷却解决方案。此外,这项研究对科学理解的贡献将促进跨学科的进一步研究,推动创新和进步。交叉纳米流体含有氧化铁[式:见正文]纳米粒子,并以乙二醇([式:见正文])为基础流体。在当前的研究中,对纳米流体存在时的浓度、温度、质量、微生物和流量分布进行了研究,同时还考虑了热泳粒子沉积和热源。通过采用合适的相似变量,将所提出的流动方程转换为 ODE。采用 RKF-45 方法对简化方程进行评估。图表用于确定重要因素对热量、微生物、浓度和流动曲线的影响。随着马兰戈尼比率参数的增加,速度分布增强,而温度分布表现出反向行为。
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