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Numerical Solution of Maxwell-Sutterby Nanofluid Flow Inside a Stretching Sheet With Thermal Radiation, Exponential Heat Source/Sink, and Bioconvection

dc.contributor.author Farooq, U.
dc.contributor.author Waqas, H.
dc.contributor.author Imran, M.
dc.contributor.author Noreen, S.
dc.contributor.author Akgül, A.
dc.contributor.author Abbas, K.
dc.contributor.author Alharbi, K.A.M.
dc.contributor.authorID 56389 tr_TR
dc.contributor.other 01. Çankaya Üniversitesi
dc.date.accessioned 2024-01-17T13:28:30Z
dc.date.accessioned 2025-09-18T12:08:17Z
dc.date.available 2024-01-17T13:28:30Z
dc.date.available 2025-09-18T12:08:17Z
dc.date.issued 2023
dc.description.abstract A Survey of literature illustrates that nano liquid is further helpful for heat transportation as compared to regular liquid. Nonetheless, there are considerable gaps in our understanding of existing approaches for enhancing heat transmission in nanofluids, necessitating comprehensive research of these fluids. The current approach proposes to investigate the influence of a Maxwell-Sutterby nanofluid on a sheet while accounting for heat radiation. This paper investigates activation energy, and exponential heat source/sink. Bioconvection and motile microorganisms with Brownian motion and thermophoresis effects are considered.y linked similarity transformations, the boundary layer set of controlling partial differential equations are transformed into ordinary differential equations. A numerical strategy (shooting technique) is used to handle the transformed system of ordinary differential equations through the Bvp4c solver of the computing tool MATLAB. The results for velocity and temperature, concentration, and motile microbe profiles are numerically and graphically examined for various parameters. The velocity distribution profile decreased as the magnetic parameter varied, but increased when the mixed convection parameter increased in magnitude. The heat flux profile is improved with higher estimations of the Biot number and thermophoresis parameter. When the Prandtl number and the Brownian motion parameter's values rise, the energy profile falls. When the Peclet number and bioconvection Lewis number increased, the profile of mobile microorganisms dropped. © 2023 en_US
dc.description.publishedMonth 5
dc.description.sponsorship Deanship of Scientific Research at Umm Al-Qura University, (22UQU4310392DSR27) en_US
dc.identifier.citation Alharbi, Khalid Abdulkhaliq M.;...et.al. (2023). "Numerical solution of Maxwell-Sutterby nanofluid flow inside a stretching sheet with thermal radiation, exponential heat source/sink, and bioconvection", International Journal of Thermofluids, Vol.18. en_US
dc.identifier.doi 10.1016/j.ijft.2023.100339
dc.identifier.issn 2666-2027
dc.identifier.scopus 2-s2.0-85151028380
dc.identifier.uri https://doi.org/10.1016/j.ijft.2023.100339
dc.identifier.uri https://hdl.handle.net/123456789/11090
dc.language.iso en en_US
dc.publisher Elsevier B.V. en_US
dc.relation.ispartof International Journal of Thermofluids en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.subject Activation Energy en_US
dc.subject Bioconvection en_US
dc.subject Exponential Heat Source/Sink en_US
dc.subject Maxwell-Sutterby Nanofluid en_US
dc.subject Motile Microorganisms en_US
dc.subject Shooting Approach en_US
dc.subject Stretching Sheet en_US
dc.subject Thermal Radiation en_US
dc.title Numerical Solution of Maxwell-Sutterby Nanofluid Flow Inside a Stretching Sheet With Thermal Radiation, Exponential Heat Source/Sink, and Bioconvection en_US
dc.title Numerical solution of Maxwell-Sutterby nanofluid flow inside a stretching sheet with thermal radiation, exponential heat source/sink, and bioconvection tr_TR
dc.type Article en_US
dspace.entity.type Publication
gdc.author.scopusid 59114466600
gdc.author.scopusid 58486733300
gdc.author.scopusid 58003134600
gdc.author.scopusid 57212946646
gdc.author.scopusid 57194737689
gdc.author.scopusid 57195480256
gdc.author.scopusid 58717102700
gdc.description.department Çankaya University en_US
gdc.description.departmenttemp Alharbi K.A.M., Mechanical Engineering Department, College of Engineering, Umm Al-Qura University, Makkah, 24382, Saudi Arabia; Farooq U., Department of Mathematics, Government College University Faisalabad, 38000, Pakistan; Waqas H., School of Energy and Power Engineering, Jiangsu University, Zhenjiang, 2122013, China; Imran M., Department of Mathematics, Government College University Faisalabad, 38000, Pakistan; Noreen S., Department of Chemistry, Government College WomenUniversity Faisalabad, 38000, Pakistan; Akgül A., Department of Computer Science and Mathematics, Lebanese American University, Beirut, Lebanon, Siirt University, Art and Science Faculty, Department of Mathematics, Siirt, 56100, Turkey, Near East University, Mathematics Research Center, Department of Mathematics, Near East Boulevard, PC: 99138, Nicosia /Mersin 10–, Turkey; Baleanu D., Çankaya University, Department of Mathematics, Ankara, Turkey; Din S.M.E., Center of Research, Faculty of Engineering, Future University in Egypt, New Cairo, 11835, Egypt; Abbas K., Department of Mathematics and Statistics, University of Agriculture, Faisalabad, 38000, Pakistan en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q1
gdc.description.volume 18 en_US
gdc.identifier.openalex W4353048094
gdc.openalex.fwci 7.62614639
gdc.openalex.normalizedpercentile 0.98
gdc.openalex.toppercent TOP 10%
gdc.opencitations.count 34
gdc.plumx.crossrefcites 47
gdc.plumx.mendeley 14
gdc.plumx.newscount 1
gdc.plumx.scopuscites 47
gdc.scopus.citedcount 46
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relation.isOrgUnitOfPublication.latestForDiscovery 0b9123e4-4136-493b-9ffd-be856af2cdb1

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