Empowering nanoscale heat transfer using ecofriendly quint nanomaterial powered by response surface technique (RST) and ANOVA scheme coupled with radiation effects.

Authors

Adnan, Dase Fayera Hule, S U Khan, Mustafa Abdullah, Samia Elattar, Muhammad Nasir Bashir, Yasir Khan, Muhammad Bilal

Published in

Discover nano. Volume 21. Issue 1. Jul 21, 2026. Epub Jul 21, 2026.

Abstract

The key purpose of this research is to analyze the heat transfer in dovetail device wetted with quint nanofluid subject to different influential parameters like radiations, porosity, convective, conductive, heat generation and their contribution in the heat transfer. Further, to investigate the joint effects of linear and nonlinear heating sources.
The model is designed for dovetail device associated to promising heat transfer parameters. The physical model is governed by second order problem with the influence of quint concentration. To investigate the heat transfer, an innovative idea of Response Surface Technique (RST) and ANOVA successfully implemented and achieved better responses of the model against the parameters and furnished the results.
It is examined that the presence of linear and nonlinear heating sources are crucial for heat transfer applications. The nonlinear source is observed excellent for enhanced heat transfer while linear source is good to achieve the applications at low heat transport. Further, concentrations, radiations and heat generation enhanced the dovetail device performance while permeability and conduction drop the heat mechanism.
This investigation provides promising heat transfer in dovetail device wetted with quint nanofluid which is unique combination not reported so far. By implementing the Response Surface Technique (RST) and ANOVA, the analysis exceptionally measures the interactive and individual role of the parameters. This unified approach offers a novel predictive paradigm for optimizing and designing of the device in advanced heat transfer applications.

PMID:
42479328
Bibliographic data and abstract were imported from PubMed on 21 Jul 2026.

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