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Numerical Simulation of MHD Couette Flow of a Fuzzy Nanofluid through an Inclined Channel with Thermal Radiation Effect

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dc.contributor.author Siddique, Imran
dc.contributor.author Zulqarnain, Rana Muhammad
dc.contributor.author Nadeem, Muhammad
dc.contributor.author Jarad, Fahd
dc.date.accessioned 2022-08-25T08:20:12Z
dc.date.available 2022-08-25T08:20:12Z
dc.date.issued 2021
dc.identifier.citation Siddique, Imran...et al. (2021). "Numerical Simulation of MHD Couette Flow of a Fuzzy Nanofluid through an Inclined Channel with Thermal Radiation Effect", Computational Intelligence and Neuroscience, Vol. 2021. tr_TR
dc.identifier.issn 1687-5265
dc.identifier.uri http://hdl.handle.net/20.500.12416/5775
dc.description.abstract The present study especially concerns the investigation of the Couette flow and heat transfer with thermal radiation through an inclined channel. Single-wall carbon nanotube (SWCNT) and multiple-wall carbon nanotube (MWCNT) are nanoparticles embedded in the host fluid. The dimensionless highly nonlinear differential equations (DEs) are solved via numerical scheme bvp4c. The effects of the physical parameters on heat transfer are presented in the form of graphs. The results demonstrate that the heat transfer is enhanced by using solid particle frictions (SWCNT and MWCNT). The large estimation of a magnetic parameter declines the velocity component. The current and existing results with their comparisons are shown in the tabular form for the validation of our code. The current results are in good agreement with their existing results. Generally, fuzziness or uncertainty is inherent in modeling, analysis, and experimentation. Due to the uncertain environmental conditions, fuzziness broadly exists in various engineering heat transfer problems. In this work, the nanoparticles' volume fraction of the SWCNT and MWCNT is taken as uncertain parameters in terms of triangular fuzzy numbers (TFNs). The TFNs are controlled by the α-cut which has less computational effort for analyzing the fuzziness or uncertainties. Also, a comparison between the SWCNT and MWCNT through the membership function and the variability of the uncertainty is studied. © 2021 Imran Siddique et al. tr_TR
dc.language.iso eng tr_TR
dc.relation.isversionof 10.1155/2021/6608684 tr_TR
dc.rights info:eu-repo/semantics/openAccess tr_TR
dc.title Numerical Simulation of MHD Couette Flow of a Fuzzy Nanofluid through an Inclined Channel with Thermal Radiation Effect tr_TR
dc.type article tr_TR
dc.relation.journal Computational Intelligence and Neuroscience tr_TR
dc.contributor.authorID 234808 tr_TR
dc.identifier.volume 2021 tr_TR
dc.contributor.department Çankaya Üniversitesi, Fen - Edebiyat Fakültesi, Matematik Bölümü tr_TR


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