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dc.creatorZhang L.
dc.creatorTariq N.
dc.creatorBhatti M.M.
dc.creatorMichaelides E.E.
dc.date.accessioned2022-09-26T18:58:49Z
dc.date.available2022-09-26T18:58:49Z
dc.date.issued2022
dc.identifier.urihttps://doi.org/10.3390/fractalfract6050263
dc.identifier.urihttps://repository.tcu.edu/handle/116099117/55786
dc.description.abstractA novel computational approach is developed to investigate the mixed convection, boundary layer flow over a nonlinear elastic (stretching or shrinking) surface. The viscous fluid is electrically conducting, incompressible, and propagating through a porous medium. The consequences of viscous dissipation, Joule heating, and heat sink/source of the volumetric rate of heat generation are also included in the energy balance equation. In order to formulate the mathematical modeling, a similarity analysis is performed. The numerical solution of nonlinear differential equations is accomplished through the use of a robust computational approach, which is identified as the Spectral Local Linearization Method (SLLM). The computational findings reported in this study show that, in addition to being simple to establish and numerically implement, the proposed method is very reliable in that it converges rapidly to achieve a specified goal and is more effective in resolving very complex models of nonlinear boundary value problems. In order to ensure the convergence of the proposed SLLM method, the Gauss–Seidel approach is used. The SLLM’s reliability and numerical stability can be optimized even more using Gauss–Seidel approach. The computational results for different emerging parameters are computed to show the behavior of velocity profile, skin friction coefficient, temperature profile, and Nusselt number. To evaluate the accuracy and the convergence of the obtained results, a comparison between the proposed approach and the bvp4c (built-in command in Matlab) method is presented. The Matlab software, which is used to generate machine time for executing the SLLM code, is also displayed in a table. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.
dc.languageen
dc.publisherMDPI
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.sourceFractal and Fractional
dc.subjectcomputational methoden_US
dc.subjectelastic permeable mediumen_US
dc.subjectmachine timeen_US
dc.subjectmagneto-hydrodynamics (MHD)en_US
dc.subjectmixed convectionen_US
dc.subjectviscous dissipationen_US
dc.titleMixed Convection Flow over an Elastic, Porous Surface with Viscous Dissipation: A Robust Spectral Computational Approach
dc.typeArticle
dc.rights.holder2022 by the authors
dc.rights.licenseCC BY 4.0
local.collegeCollege of Science and Engineering
local.departmentEngineering
local.personsMichaelides (ENGR)


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