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A thermal performance study on magnetic dipole based viscoplastic nanomaterial deploying distinct rheological aspects

Mhamed BenaissaChemical Engineering Department, College of Engineering, University of Ha'il, P.O. Box 2440, Ha'il, 81441, Saudi ArabiaMuhammad Salman KausarFaculty of Informatics and Computing, Universiti Sultan Zainal Abidin (Kampus Gong Badak), Kuala Terengganu, Terengganu, 21300, MalaysiaMuhammad NasirFaculty of Informatics and Computing, Universiti Sultan Zainal Abidin, Besut Campus, 22200, Besut, Tereng-ganu, MalaysiaS. SaleemDepartment of Mathematics, College of Science, King Khalid University, Abha, 61413, Saudi ArabiaM. WaqasDepartment of Computer Science and Mathematics, Lebanese American University, Beirut, LebanonNurnadiah ZamriFaculty of Informatics and Computing, Universiti Sultan Zainal Abidin, Besut Campus, 22200, Besut, Tereng-ganu, MalaysiaShirin ShomurotovaDepartment of Chemistry Teaching Methods, Tashkent State Pedagogical University named After Nizami, Bunyodkor Street 27, Tashkent, UzbekistanNidhal Ben KhedherMechanical Engineering Department, College of Engineering, University of Ha'il, P.O. Box 2440, Ha'il, 81441, Saudi Arabia
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Magnetic nanoliquids stand inimitable when compared with conventional liquids as their distinctive magnetic attributes can be regulated utilizing magnetic fields. For this reason, heat transference can be stimulated or regulated subjected to externally imposed magnetic fields. Magnetic nanoliquids are useful in comparison to orthodox or non-magnetic nanoliquids. These encompasses, energy conversion, electronics, hydraulics, thermal engineering and bioengineering. This study elaborates the magnetic dipole impact on convectively heated rheological nanomaterial confined by stretchy surface. Mathematical modeling is based on thermally radiative viscoplastic (Casson) model. Porous medium features are scrutinized through Darcian Forchheimer (DF) relation. Two-component Buongiorno nanomaterial model which captures Brownian diffusive together with thermophoretic diffusion is under consideration. Energy and solutal transportation expressions capture thermal source and chemical reaction effects. The dimensionalized nanomaterial flow model for stretching flow is obtained by deploying similarity variables. Numerical solutions are computed through Bvp4c scheme. The physical outcomes are elucidated graphically and arithmetically on dimensionless quantities (i.e., Nusselt number, temperature, skin-friction, velocity, Sherwood number and concentration streams). A benchmark is reported to authenticate the acquired numeric solutions. It is further visualized that nanomaterial temperature escalates subject to higher estimations of thermal Biot number, Curie temperature factor, radiation factor, thermophoresis parameter, heat source, ferrohydrodynamic interaction factor and Brownian diffusive parameter while it diminishes with Prandtl number and dissipation factor.

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