Machine learning backpropagation network analysis of permeability, Forchheimer coefficient, and effective thermal conductivity of macroporous foam

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Machine learning backpropagation network analysis of permeability, Forchheimer coefficient, and effective thermal conductivity of macroporous foam–fluid systems

Published:2024-07 Issue: Volume:201 Page:109039
ISSN:1290-0729
Container-title:International Journal of Thermal Sciences
language:en
Short-container-title:International Journal of Thermal Sciences

Author:

Otaru Abdulrazak Jinadu^ORCID,Auta Manase

Funder

King Faisal University

Publisher

Elsevier BV

Reference54 articles.

1. Les Fotaines Publiques de la Ville de Dijon;Darcy,1856

2. Thermophysical properties of high porosity metal foams;Bhattacharya;Int. J. Heat Mass Tran.,2002

3. The flow of fluids through granular beds: effects of particle shape and voids in streamline flow;Coulson;Trans. Inst. Chem. Eng.,1949

4. Fluid flow through packed columns;Ergun;Chem. Eng. Prog.,1952

5. Fluid flow through granular beads;Carman,1937

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