Chemically reactive bioconvection flow of Powell-Eyring hybrid nanofluid (HNF) over a Riga plate with gyrotactic microorganisms and thermal radition

IF 4.2 Q2 CHEMISTRY, MULTIDISCIPLINARY Results in Chemistry Pub Date : 2025-04-18 DOI:10.1016/j.rechem.2025.102284
Sohail Rehman
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Abstract

This work explores the bioconvective flow of a Powell-Eyring HNF (Go-Al2O3) over a Riga plate to improve thermal efficiency in biomedical devices, cutting-edge cooling systems, and applications utilizing renewable energy by combining electromagnetic actuation, nanoparticle-microorganism interactions, and non-Newtonian rheology in an efficient way. The model include the activation energy, radiating heat, Brownian and thermophoresis and motile microorganasim features. The model include single and two-phase NF models which account the Brownian, thermophoresis and nanomaterials load in a working fluid. The Rungg-Kutta numerical scheme is used to solve the system of dimensionless eqs. A comparative study has been done to examine the behavior of HNF and NF. The findings indicate that HNF exhibits high temperatures and concentration profiles than NF. The fluid velocity and drag coefficient display inverse trend against Hartman number. The chemical reaction parameter resulted in a significant increase in the Sherwood number with a high rate of 15.5 %. An increase in the Nusselt number with a high rate of 18.3 % due to higher Eckert number indicate frictional heating dominant effect. Effect of bioconvection Lewis and Peclet number on concentration are conflicting. The influence of Brownian parameter on Nusselt number with a decreased rate to 0.7 % indicate system coolong. The Sherwood number is the sensitive for activation energy and chemical reaction parameter. This work leverages the special characteristics of gyrotactic microorganisms in HNF to optimize heat and mass transfer in manufacturing and biomedical systems, such as microfluidics, bio-reactors, and energy-effective operations.

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Powell-Eyring混合纳米流体(HNF)在带有陀螺仪微生物和热辐射的Riga平板上的化学反应性生物对流流动
这项工作探索了鲍威尔-埃环HNF (Go-Al2O3)在Riga板上的生物对流流动,以提高生物医学设备、尖端冷却系统的热效率,并通过结合电磁驱动、纳米粒子-微生物相互作用和非牛顿流变学,以有效的方式利用可再生能源。该模型包括活化能、辐射热、布朗热泳、热泳和活动微生物特征。该模型包括单相和两相NF模型,分别考虑了工作流体中的布朗负荷、热电泳负荷和纳米材料负荷。采用龙格-库塔数值格式求解无量纲方程组。对HNF和NF的行为进行了比较研究。研究结果表明,HNF比NF具有更高的温度和浓度分布。流体速度和阻力系数与哈特曼数呈反比趋势。该化学反应参数使舍伍德数显著增加,增加率高达15.5%。由于较高的Eckert数,Nusselt数以18.3%的高速率增加,表明摩擦加热占主导作用。生物对流Lewis数和Peclet数对浓度的影响是相互矛盾的。布朗参数对努塞尔数的影响减小到0.7%,表明系统变冷。舍伍德数对活化能和化学反应参数敏感。这项工作利用了HNF中回旋微生物的特殊特性来优化制造和生物医学系统中的传热和传质,如微流体、生物反应器和节能操作。
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来源期刊
Results in Chemistry
Results in Chemistry Chemistry-Chemistry (all)
CiteScore
2.70
自引率
8.70%
发文量
380
审稿时长
56 days
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