Numerical simulation for magnetic dipole in bioconvection flow of Jeffrey nanofluid with swimming motile microorganisms

被引:46
|
作者
Waqas, Hassan [1 ]
Hussain, Mohib [1 ]
Alqarni, M. S. [2 ,3 ]
Eid, Mohamed R. [4 ,5 ]
Muhammad, Taseer [2 ,3 ]
机构
[1] Govt Coll Univ Faisalabad, Dept Math, Faisalabad, Pakistan
[2] King Khalid Univ, Coll Sci, Dept Math, Abha, Saudi Arabia
[3] King Abdulaziz Univ, Dept Math, Math Modelling & Appl Computat Res Grp MMAC, Jeddah, Saudi Arabia
[4] New Valley Univ, Dept Math, Fac Sci, Al Wadi Al Gadid, Al Kharga, Egypt
[5] Northern Border Univ, Dept Math, Fac Sci, Ar Ar, Saudi Arabia
关键词
Jeffrey nanofluid; magnetic dipole; activation energy; bioconvection; motile microorganisms; numerical solution; STRETCHING SHEET; FLUID-FLOW; TRANSPORT;
D O I
10.1080/17455030.2021.1948634
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
Worldwide energy requirements demand the functioning and formulating of thermal mechanisms and heat exchangers for the use and resuscitation of thermal energy. As a result, new heat transport liquids subject to improved heat transport characteristics are needed to enhance convection heat transport in nanoliquids. With that objective, the present work addresses the dynamical investigation for bioconvection effects containing gyrotactic motile microorganisms of Jeffery nanofluid over a stretching sheet, influenced by a magnetic dipole with ferromagnetic particles. Ferro nanofluids are used to develop a microtransformer which is mainly used in electronic products such as note books, e-paper, and mobile phones. Moreover, activation energy and thermal radiation are taken into account. The proposed model is based on flow rate, volumetric concentration of nanoparticle, motile microorganism, and nanomaterial temperature. The technical efficiency of nanofluids is explored by the evaluation of the Buongiorno process which helps us to determine the attractiveness of thermophoretic and Brownian diffusions. An appropriate transformation is established to transform the system of nonlinear partial differential equation (PDEs) into coupled nonlinear ODEs, which are numerically solved by a bvp4c solver in MATLAB. Results for various fundamental flow parameters are demonstrated through numeric results and graphical outcomes. .
引用
收藏
页数:18
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