Role of ternary hybrid nanoparticle and EMHD on boundary layer flow with stretching-shrinking plate: Optimization analyses using RMS

Role of ternary hybrid nanoparticle and EMHD on boundary layer flow with stretching-shrinking plate: Optimization analyses using RMS

In this present work the statistical and numerical analysis to optimizing the role of ternary hybrid nanoparticle (THNP) (i.e.Ti-SWCNT-MWCNT) on heat transfer of electromagnetohydrodynamic (EMHD) boundary layer flow with different effects (i.e. magnetic and electrical fields, stretching/shrinking an...

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Bibliographic Details
Main Authors: Ibrahim Mahariq, Rania Saadeh, Farhan Lafta Rashid, Ahmad Qazza, Hamiden Abd El-Wahed Khalifa, Mohamed Kezzar, Haifa Alqahtani, Mohamed Rafik Sari
Format: Article
Language:English
Published: Elsevier 2025-07-01
Series:Results in Physics
Subjects:
Statistical
Optimizing
EMHD
Stretching/shrinking
Ternary hybrid
Correlation
Online Access:http://www.sciencedirect.com/science/article/pii/S2211379725002098
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Summary:In this present work the statistical and numerical analysis to optimizing the role of ternary hybrid nanoparticle (THNP) (i.e.Ti-SWCNT-MWCNT) on heat transfer of electromagnetohydrodynamic (EMHD) boundary layer flow with different effects (i.e. magnetic and electrical fields, stretching/shrinking and radiation source). The partial differential equations (PDEs) are transformed into model is simplified nonlinear ordinary differential equations using similarity transformation. The ordinary differential equations (ODEs) was numerically using the Runge-Kutta-Fehlberg method and the statistically analysis using the correlation analysis, probable error estimation, Regression, analysis of variance (ANOVA) and Response Surface Designs (L15). The findings are the optimization the role of THNP in both the local Nusselt number (Nu) and Skin friction coefficient (Cf) impacted by the pertinent dimensionless characteristics for the considered flow case using RMS method. From the results, the volume fractions of 4% for both Ti, SWCNT, and MWCNT improve both thermal and fluidic properties of the nanofluid and show a combined effect of the nanoparticles. This study is marked by a significant decrease in the Cf which implies a better flow characteristics for the hybrid nanoparticles case. Optimum conditions were achieved in the maximum value of the Nu thus depicting high thermal enhancement and an enhanced cooling capability, which is very essential in thermal management systems.
ISSN:2211-3797

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