Numerical and intelligent neuro-computational modelling with Fourier’s energy and Fick’s mass flux theory of 3D fluid flow through a stretchable surface-Reference-Cited by-同舟云学术

Numerical and intelligent neuro-computational modelling with Fourier’s energy and Fick’s mass flux theory of 3D fluid flow through a stretchable surface

Published:2023-10-31 Issue:1 Volume:17 Page:
ISSN:1994-2060
Container-title:Engineering Applications of Computational Fluid Mechanics
language:en
Short-container-title:Engineering Applications of Computational Fluid Mechanics

Author:

Nasir Saleem¹²^ORCID,Berrouk Abdallah S.¹²^ORCID

Affiliation:

1. Mechanical Engineering Department, Khalifa University of Science and Technology, Abu Dhabi, UAE

2. Center for Catalysis and Separation (CeCas), Khalifa University of Science and Technology, Abu Dhabi, UAE

Funder

Khalifa University of Science, Technology and Research

Publisher

Informa UK Limited

Subject

Modeling and Simulation,General Computer Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/19942060.2023.2270675

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1. Stochastic numerical computing for entropy optimized of Darcy-Forchheimer nanofluid flow: Levenberg Marquardt Algorithm

2. Second law analysis in heat transfer

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4. Thermal transport and magnetohydrodynamics flow of generalized Newtonian nanofluid with inherent irreversibility between conduit with slip at the walls

5. Aerodynamic multi-objective optimization on train nose shape using feedforward neural network and sample expansion strategy

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