Scientific computing of radiative heat transfer with thermal slip effects near stagnation point by artificial neural network-Reference-Cited by-同舟云学术

Scientific computing of radiative heat transfer with thermal slip effects near stagnation point by artificial neural network

Published:2024-02 Issue: Volume:54 Page:104024
ISSN:2214-157X
Container-title:Case Studies in Thermal Engineering
language:en
Short-container-title:Case Studies in Thermal Engineering

Author:

Shahzad Hasan^ORCID,Sadiq M.N.,Li Zhiyong,Algarni Salem^ORCID,Alqahtani Talal^ORCID,Irshad Kashif

Funder

David O. McKay School of Education, Brigham Young University

King Khalid University

Deanship of Scientific Research, King Khalid University

Publisher

Elsevier BV

Reference34 articles.

1. Radiation effects on the flow near the stagnation point of a stretching sheet;Pop;Technische Mechanik-European Journal of Engineering Mechanics,2005

2. Oblique stagnation-point flow and heat transfer towards a shrinking sheet with thermal radiation;Mahapatra;Meccanica,2012

3. A numerical study for heat and fluid flow of couple stress fluid over a spiraling disk by Legendre wavelet spectral collocation method;Sadiq;ZAMM-Journal of Applied Mathematics and Mechanics/Zeitschrift für Angewandte Mathematik und Mechanik,2020

4. Analysis of three-dimensional stagnation point flow over a radiative surface;Riaz;Int. Commun. Heat Mass Tran.,2021

5. Thermal management of parabolic pin fin subjected to a uniform oncoming airflow: optimum fin dimensions;Turkyilmazoglu;J. Therm. Anal. Calorim.,2021

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