Optimization and sensitivity analysis of heat transfer rate of tri-hybrid nanofluid of stagnation point flow
In manufacturing, especially in oil flow filtration, combustion systems, cooling turbines, and other areas, heat transfer performance through hybrid nanofluids (HNFs) is a key factor in achieving dominance of the final product. The present study deals with the movement of the fluid containing tri-hy...
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| Vydané v: | Journal of algorithms & computational technology Ročník 19 |
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| Hlavní autori: | , , , , |
| Médium: | Journal Article |
| Jazyk: | English |
| Vydavateľské údaje: |
SAGE Publishing
01.03.2025
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| ISSN: | 1748-3018, 1748-3026 |
| On-line prístup: | Získať plný text |
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| Shrnutí: | In manufacturing, especially in oil flow filtration, combustion systems, cooling turbines, and other areas, heat transfer performance through hybrid nanofluids (HNFs) is a key factor in achieving dominance of the final product. The present study deals with the movement of the fluid containing tri-hybrid nanoparticles on an excessively large stagnation point area on a smooth plate in a permeable medium. Additionally, the leading partial differential equations of the proposed model are converted to ordinary differential equations (ODEs) by incorporating similarity variables, and the fourth-order Runge–Kutta method is then used to solve these. To find the missing initial conditions of first-order ODEs, a shooting technique is also used. Furthermore, the consequences of heat transmission rate in the form of graphs and tables are explored. It is noticed that by enhancing the strength of the solid volume fraction the skin friction along the x-axis ( f ″ ( 0 ) or C F X ) increases as γ ∈ ( − 2 , 10 ] and decreases for the values of γ ∈ [ − 10 , 2 ) . But the converse of this behavior is true for g ″ ( 0 ) = C F Y . Moreover, the ternary fluid has taken the most significant effect on the Nusselt number, that is, 17.12978%, 8.43809%, and 19.20192% increment for Go, Ag and Cu type mono-nanofluid and 12.67309%, 18.13489%, and 13.65317% enhancement for HNF (Go-Ag, Go-Cu, Ag-Cu, respectively). |
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| ISSN: | 1748-3018 1748-3026 |
| DOI: | 10.1177/17483026251331492 |