Thermodynamic enhancement of fractional diffusion-thermo deformity under thermo-radiation characteristics through Yang–Abdel–Cattani non-integer differential modeling

This paper explores how heat flow due to an isothermal chemical gradient affects mass flow due to the temperature gradient and chemical convection. The aim of this paper is to trace out the diffusion-thermo deformity under a thermo-radiation atmosphere. The governing equations for the diffusion-thermo and radiation model have been generated by means of Boussinesq's approximation under certain assumptions of rheology. For the sake of thermodynamic analysis, a mathematical differential system is generated by means of Yang–Abdel–Cattani fractional differentiability. A computational study based on analyticity is conducted via integral transforms to evaluate the impacts of a diffusion-thermo model at imposed rheological parameters. Solution strategies for analytic investigation under fractional domain have been tackled for velocity, temperature, and concentration profiles. Optimization of statistical data for sensitive parameters of diffusion-thermo and radiation has been investigated on the basis of probable error, correlation, and regression analysis. In brevity, our results are validated for classical solution when a fractional parameter is retrieved at one in the open literature, which is in excellent agreement. It has also been suggested that the fractional thermo-diffusion model can be balanced by a lateral heating effect with either reversed trends or revoked trends of thermal radiation.

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Publication Details

Journal
Physics of Fluids
Published
2025-09-01
DOI
https://doi.org/10.1063/5.0280040
Citations
2
Primary Topic
Nanofluid Flow and Heat Transfer
Type
article
Field-Weighted Citation Impact
1.35
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article

Thermodynamic enhancement of fractional diffusion-thermo deformity under thermo-radiation characteristics through Yang–Abdel–Cattani non-integer differential modeling

Kashif Ali Abro, Ibrahim Mahariq, Muhammad Faizan
2 citations
Physics of Fluids
Nanofluid Flow and Heat Transfer
1.35
article

Thermodynamic enhancement of fractional diffusion-thermo deformity under thermo-radiation characteristics through Yang–Abdel–Cattani non-integer differential modeling

Kashif Ali Abro, Ibrahim Mahariq, Muhammad Faizan
article en
2 citations

Abstract

This paper explores how heat flow due to an isothermal chemical gradient affects mass flow due to the temperature gradient and chemical convection. The aim of this paper is to trace out the diffusion-thermo deformity under a thermo-radiation atmosphere. The governing equations for the diffusion-thermo and radiation model have been generated by means of Boussinesq's approximation under certain assumptions of rheology. For the sake of thermodynamic analysis, a mathematical differential system is generated by means of Yang–Abdel–Cattani fractional differentiability. A computational study based on analyticity is conducted via integral transforms to evaluate the impacts of a diffusion-thermo model at imposed rheological parameters. Solution strategies for analytic investigation under fractional domain have been tackled for velocity, temperature, and concentration profiles. Optimization of statistical data for sensitive parameters of diffusion-thermo and radiation has been investigated on the basis of probable error, correlation, and regression analysis. In brevity, our results are validated for classical solution when a fractional parameter is retrieved at one in the open literature, which is in excellent agreement. It has also been suggested that the fractional thermo-diffusion model can be balanced by a lateral heating effect with either reversed trends or revoked trends of thermal radiation.

Physics of FluidsVol. 37(9)
Gachon University (KR), Applied Science Private University (JO), Gulf University for Science & Technology (KW), Mehran University of Engineering and Technology (PK), China Medical University (TW), Al-Quds University (PS), China Medical University Hospital (TW)
Openalex Percentile: Top 18%
Nanofluid Flow and Heat Transfer
1.35
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