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Numerical Framework of Hybrid Nanofluid Over Two Horizontal Parallel Plates With Non-Linear Thermal Radiation

dc.contributor.author Waqas, H.
dc.contributor.author Noreen, S.
dc.contributor.author Imran, M.
dc.contributor.author Akgül, A.
dc.contributor.author Baleanu, D.
dc.contributor.author Galal, A.M.
dc.contributor.author Farooq, U.
dc.contributor.authorID 56389 tr_TR
dc.contributor.other 02.02. Matematik
dc.contributor.other 02. Fen-Edebiyat Fakültesi
dc.contributor.other 01. Çankaya Üniversitesi
dc.date.accessioned 2024-01-16T13:43:40Z
dc.date.accessioned 2025-09-18T16:07:30Z
dc.date.available 2024-01-16T13:43:40Z
dc.date.available 2025-09-18T16:07:30Z
dc.date.issued 2023
dc.description.abstract Significance of study: High combustion temperatures necessitate appropriate cooling systems in the combustion process. Regenerative cooling is used in the majority of chambers in liquid propellant engines. The addition of nanoparticles to the cooling fluid is a novel technique to increase the efficiency of heat transfer in the regenerative cooling process. Aim of the study: In this investigation, we investigate the two-dimensional flow of the hybrid nanofluid with suction/injection effect over two horizontal parallel plates. The non-linear thermal radiation effect is measured in the model of a hybrid nanofluid. Here we use single-walled carbon nanotubes, multi-walled carbon nanotubes, nickel-zinc iron oxide, and manganese zinc iron oxide with base fluid engine oil. The effects of different shape factors (Sphere, Bricks, Cylinder, Platelets, Column, and Lamina)are also incorporated. Research methodology: Using appropriate similarity transformations, the controlling partial differential equations are transformed into ordinary differential equations. Using the shooting strategy, the transformed higher-order ordinary differential equations are converted to first-order ordinary differential equations, and the Bvp4c built-in function in MATLAB is used to produce the numerical and graphical results of the flow parameter. Conclusion: The velocity profile is decreased by the increasing values of the suction/injection parameter. The temperature distribution profile declined for the higher values of the temperature ratio parameter. The combination of nickel zinc iron oxide and carbon nanotube nanomaterials to engine oil as a cooling fluid enhanced the heat transfer coefficient. According to the findings, carbon nanotubes outperform nickel zinc iron oxide nanoparticles in terms of increasing heat transfer coefficient and improving regenerative cooling. © 2023 The Author(s) en_US
dc.description.publishedMonth 5
dc.description.sponsorship Prince Sattam bin Abdulaziz University, PSAU, (PSAU/2023/R/1444); Prince Sattam bin Abdulaziz University, PSAU en_US
dc.identifier.citation Farooq, Umar;...et.al. (2023). "Numerical framework of hybrid nanofluid over two horizontal parallel plates with non-linear thermal radiation", International Journal of Thermofluids, Vol.18. en_US
dc.identifier.doi 10.1016/j.ijft.2023.100346
dc.identifier.issn 2666-2027
dc.identifier.scopus 2-s2.0-85152117616
dc.identifier.uri https://doi.org/10.1016/j.ijft.2023.100346
dc.identifier.uri https://hdl.handle.net/20.500.12416/14761
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 Engine Oil en_US
dc.subject Heat Transfer en_US
dc.subject Hybrid Nanofluid en_US
dc.subject Liquid Propellant en_US
dc.subject Matlab en_US
dc.subject Rocket en_US
dc.subject Shooting Method Swcnt,Niznfe<Sub>2</Sub>O<Sub>4</Sub>,Mwcnt&Mnznfe<Sub>2</Sub>O<Sub>4</Sub>Nanoparticles en_US
dc.title Numerical Framework of Hybrid Nanofluid Over Two Horizontal Parallel Plates With Non-Linear Thermal Radiation en_US
dc.title Numerical framework of hybrid nanofluid over two horizontal parallel plates with non-linear thermal radiation tr_TR
dc.type Article en_US
dspace.entity.type Publication
gdc.author.institutional Baleanu, Dumitru
gdc.author.scopusid 57194737689
gdc.author.scopusid 57195480256
gdc.author.scopusid 59114466600
gdc.author.scopusid 58717102700
gdc.author.scopusid 58486733300
gdc.author.scopusid 7005872966
gdc.author.scopusid 56533667000
gdc.description.department Çankaya University en_US
gdc.description.departmenttemp Farooq U., Department of Mathematics, Government College University Faisalabad, 38000, Pakistan; Waqas H., School of Energy and Power Engineering, Jiangsu University, Zhenjiang, 2122013, China; Noreen S., Department of Chemistry, Government College Women University Faisalabad, 38000, Pakistan; Imran M., Department of Mathematics, Government College University 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, Turkey; Baleanu D., Department of Computer Science and Mathematics, Lebanese American University, Beirut, Lebanon, Çankaya University, Department of Mathematics, Ankara, Turkey, Institute of Space Sciences, Magurele-Bucharest, R76900, Romania; Din S.M.E., Center of Research, Faculty of Engineering, Future University in Egypt, New Cairo, 11835, Egypt; Muhammad T., Department of Mathematics, College of Sciences, King Khalid University, Abha, 61413, Saudi Arabia; Galal A.M., Department of Mechanical Engineering, College of Engineering in WadiAlddawasir, Prince Sattam bin Abdulaziz University, Saudi Arabia, Production Engineering and Mechanical Design Department, Faculty of Engineering, Mansoura University, Mansoura, P.O 35516, Egypt 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 W4362560214
gdc.openalex.fwci 4.92521954
gdc.openalex.normalizedpercentile 0.95
gdc.openalex.toppercent TOP 10%
gdc.opencitations.count 18
gdc.plumx.crossrefcites 29
gdc.plumx.mendeley 14
gdc.plumx.newscount 1
gdc.plumx.scopuscites 28
gdc.scopus.citedcount 28
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