Utilization of machine learning and neural networks to optimize the enclosure angle, magnetic field, and radiation parameter for mixed convection of hybrid nanofluid flow next to assess environmental impact-Reference-Cited by-同舟云学术

Utilization of machine learning and neural networks to optimize the enclosure angle, magnetic field, and radiation parameter for mixed convection of hybrid nanofluid flow next to assess environmental impact

Published:2023-01 Issue: Volume:146 Page:252-262
ISSN:0955-7997
Container-title:Engineering Analysis with Boundary Elements
language:en
Short-container-title:Engineering Analysis with Boundary Elements

Author:

Hai Tao,Dhahad Hayder A.,Ali Masood Ashraf,Goyal Vishal,Almojil Sattam Fahad,Almohana Abdulaziz Ibrahim,Alali Abdulrhman Fahmi,Almoalimi Khaled Twfiq,Qasim Ahmed Alyousuf Farah

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Mathematics,General Engineering,Analysis

Reference66 articles.

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2. Comprehensive investigation of solid and porous fins influence on natural convection in an inclined rectangular enclosure;Keyhani Asl;Int J Heat Mass Transf,2019

3. Simulation of three dimensional MHD natural convection using double MRT Lattice Boltzmann method;Sajjadi;Phys A,2019

4. Role of multiple solar heaters along the walls for the thermal management during natural convection in square and triangular cavities;Das;Renew Energy,2018

5. Natural convection in a rectangular enclosure filled by two immiscible fluids of air and Al2O3-water nanofluid heated partially from side walls;Salari;Alex Eng J,2018

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