Incompressible smoothed particle hydrodynamics simulations enhanced by hybrid artificial intelligence for investigating magnetic field influence on double diffusion in an arc-shaped cavity-Reference-Cited by-同舟云学术

Incompressible smoothed particle hydrodynamics simulations enhanced by hybrid artificial intelligence for investigating magnetic field influence on double diffusion in an arc-shaped cavity

Published:2024-06-13 Issue: Volume: Page:1-24
ISSN:1040-7782
Container-title:Numerical Heat Transfer, Part A: Applications
language:en
Short-container-title:Numerical Heat Transfer, Part A: Applications

Author:

Alhejaili Weaam¹,Pandey Pragya²,Aly Abdelraheem M.³^ORCID

Affiliation:

1. Department of Mathematical Sciences, College of Science, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia

2. Department of Mathematics, SRM IST Ramapuram Chennai, India

3. Department of Mathematics, College of Science, King Khalid University, Abha, Saudi Arabia

Funder

King Khalid University

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/10407782.2024.2363500

Reference51 articles.

1. Prediction of flow fields and temperature distributions due to natural convection in a triangular enclosure using Adaptive-Network-Based Fuzzy Inference System (ANFIS) and Artificial Neural Network (ANN)

2. The prediction of maximum temperature for single chips’ cooling using artificial neural networks

3. Neural networks analysis of free laminar convection heat transfer in a partitioned enclosure

4. Inter-model comparison of CFD and neural network analysis of natural convection heat transfer in a partitioned enclosure

5. An SPH Projection Method

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