دورية أكاديمية

Quadratic multiple regression model and spectral relaxation approach for carreau nanofluid inclined magnetized dipole along stagnation point geometry.

التفاصيل البيبلوغرافية
العنوان: Quadratic multiple regression model and spectral relaxation approach for carreau nanofluid inclined magnetized dipole along stagnation point geometry.
المؤلفون: El Din SM; Center of Research, Faculty of Engineering, Future University in Egypt, New Cairo, 11835, Egypt., Darvesh A; Department of Mathematics, Hazara University Mansehra, Mansehra, 21300, Pakistan., Ayub A; Department of Mathematics, Hazara University Mansehra, Mansehra, 21300, Pakistan.; Department of Mathematics, Government Post Graduate College Mansehra, Mansehra, 21300, Pakistan., Sajid T; Department of Mathematics, Capital University of Science and Technology, Islamabad, 44000, Pakistan., Jamshed W; Department of Mathematics, Capital University of Science and Technology, Islamabad, 44000, Pakistan. wasiktk@hotmail.com., Eid MR; Department of Mathematics, Faculty of Science, New Valley University, Al-Kharga, Al-Wadi Al-Gadid, 72511, Egypt.; Department of Mathematics, Faculty of Science, Northern Border University, Arar, 1321, Saudi Arabia., Hussain SM; Department of Mathematics, Faculty of Science, Islamic University of Madinah, Madinah, 42351, Saudi Arabia., Sánchez-Chero M; Universidad Nacional de Frontera, Sullana, Peru., Ancca SM; Universidad Nacional de Moquegua, Moquegua, Peru., Ramírez Cerna JM; Universidad Alas Peruanas, Lima, Peru., Dapozzo CLA; Universidad Nacional Tecnológica de Lima Sur, Lima, Peru.
المصدر: Scientific reports [Sci Rep] 2022 Oct 15; Vol. 12 (1), pp. 17337. Date of Electronic Publication: 2022 Oct 15.
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: PubMed not MEDLINE; MEDLINE
أسماء مطبوعة: Original Publication: London : Nature Publishing Group, copyright 2011-
مستخلص: Researchers across the world have tried to explore the impact of non-Newtonian liquid flowing via an extendable surface with the inclusion of various effects due to its industrial and engineering applications like polymer production, paper production, filament extrusion from a dye, etc. This study investigates the behavior of stagnation point flow of Carreau liquid attached with inclined magnetic effect and spectral relaxation approach is utilized here for the numerical outcome. In this study, a few other vital features are attached like the quadratic multiple regression model for Nusselt number evaluation, passive control of nanoparticles, viscus heating thermophoresis, Brownian motion, and mixed convection, etc. Velocity disbursement visibility is analyzed by placing an inclined magnetic field. Physical model generates collection of partial differential equations (PDEs) and these PDEs are moved into ordinary differential equations by a similarity transformations scheme. Further for numerical process, spectral relaxation method is used. Growth in K causes a reduction in velocity because this parameter K creates the impedance to flowing resulting in confines the movement of liquid in restricted the plate. Direct relation is found between [Formula: see text] and the energy file. In the case of S > 1, physically it is a representation of Joule and viscous dissipations. This article is novel in its sense that the influence of oblique magnetic force and second order velocity slippage on Carreau nano liquid and its numerical computation with help of the spectral relaxation method has never been done before. Furthermore, the quadratic multiple regression model has been employed to find the heat transition rate in the status of the Nusselt number.
(© 2022. The Author(s).)
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تواريخ الأحداث: Date Created: 20221015 Latest Revision: 20221019
رمز التحديث: 20221213
مُعرف محوري في PubMed: PMC9569357
DOI: 10.1038/s41598-022-22308-8
PMID: 36243832
قاعدة البيانات: MEDLINE