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Numerical Simulation of Mhd Couette Flow of a Fuzzy Nanofluid Through an Inclined Channel With Thermal Radiation Effect

dc.contributor.author Zulqarnain, Rana Muhammad
dc.contributor.author Nadeem, Muhammad
dc.contributor.author Jarad, Fahd
dc.contributor.author Siddique, Imran
dc.contributor.authorID 234808 tr_TR
dc.contributor.other 02.02. Matematik
dc.contributor.other 02. Fen-Edebiyat Fakültesi
dc.contributor.other 01. Çankaya Üniversitesi
dc.date.accessioned 2022-08-25T08:20:12Z
dc.date.accessioned 2025-09-18T15:44:01Z
dc.date.available 2022-08-25T08:20:12Z
dc.date.available 2025-09-18T15:44:01Z
dc.date.issued 2021
dc.description Zulqarnain, Rana Muhammad/0000-0002-2656-8679 en_US
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 alpha-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. en_US
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. en_US
dc.identifier.doi 10.1155/2021/6608684
dc.identifier.issn 1687-5265
dc.identifier.issn 1687-5273
dc.identifier.scopus 2-s2.0-85118943825
dc.identifier.uri https://doi.org/10.1155/2021/6608684
dc.identifier.uri https://hdl.handle.net/20.500.12416/14117
dc.language.iso en en_US
dc.publisher Hindawi Ltd en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.title Numerical Simulation of Mhd Couette Flow of a Fuzzy Nanofluid Through an Inclined Channel With Thermal Radiation Effect en_US
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 en_US
dspace.entity.type Publication
gdc.author.id Zulqarnain, Rana Muhammad/0000-0002-2656-8679
gdc.author.institutional Jarad, Fahd
gdc.author.scopusid 24436604100
gdc.author.scopusid 57221294066
gdc.author.scopusid 58581219000
gdc.author.scopusid 15622742900
gdc.author.wosid Zulqarnain, Dr. Rana/Aac-4876-2021
gdc.author.wosid Jarad, Fahd/T-8333-2018
gdc.author.wosid Siddique, Imran/Acg-3403-2022
gdc.description.department Çankaya University en_US
gdc.description.departmenttemp [Siddique, Imran; Zulqarnain, Rana Muhammad; Nadeem, Muhammad] Univ Management & Technol, Dept Math, Sialkot Campus, Lahore 54770, Pakistan; [Jarad, Fahd] Cankaya Univ, Dept Math, Ankara, Turkey; [Jarad, Fahd] China Med Univ, China Med Univ Hosp, Dept Med Res, Taichung, Taiwan en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.volume 2021 en_US
gdc.description.woscitationindex Science Citation Index Expanded
gdc.identifier.openalex W3208677865
gdc.identifier.pmid 34754303
gdc.identifier.wos WOS:000717589200004
gdc.openalex.fwci 2.86447121
gdc.openalex.normalizedpercentile 0.9
gdc.openalex.toppercent TOP 10%
gdc.opencitations.count 28
gdc.plumx.crossrefcites 20
gdc.plumx.mendeley 8
gdc.plumx.pubmedcites 6
gdc.plumx.scopuscites 42
gdc.scopus.citedcount 42
gdc.wos.citedcount 31
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