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AI Predicts MHD Natural Convection Heat Transport in Square Cavity Having a Horizontal Fin

Students & Supervisors

Student Authors
Sunipun Seemanta
Bachelor of Science in Computer Science & Engineering, FST
K. M. Tahsin Kabir
Bachelor of Science in Computer Science & Engineering, FST
Mahin Montasir Afif
Bachelor of Science in Computer Science & Engineering, FST
Mian Mohammad Rassel
Bachelor of Science in Computer Science & Engineering, FST
Koushik Biswas Arko
Bachelor of Science in Computer Science & Engineering, FST
Supervisors
Md. Mortuza Ahmmed
Associate Professor, Faculty, FST
Md. Fayz-al-asad
Lecturer, Faculty, FST

Abstract

MHD free convection and heat transfer in a wavy cavity with a single fin placed on the cold wall are studied here. Solution of the governing nonlinear dimensionless equations is achieved by the Galerkin-weighted residual finite element method. Fluid flows and thermal behavior are examined to decide the impact of three major parameters like the Rayleigh number, position of the fin, and length of the fin. Furthermore, an Artificial Neural Network (ANN) model is employed to investigate the correlation of the Nusselt number with parameters studied. The findings of this work are presented in various visualizations which depict flow structures together with temperature distribution and heat transfer along with mean Nusselt number data. The study also shows that changing fin positions and fin lengths cause drastic variations to the flow structure as well as the temperature distribution field. There is a strong increase in the average Nusselt number with the increased fin length as well as high Rayleigh numbers. The ANN yields precise results without experiencing overfitting although validation loss exhibits little variations.

Keywords

Convection Heattransfer Magnetohydrodynamics Finiteelement Neuralnetwork

Publication Details

  • Type of Publication: Conference 
  • Conference Name: 3rd International Conference on Mechanical Engineering and Applied Sciences, 2025
  • Date of Conference: 17/07/2025 - 17/07/2025
  • Venue: MILITARY INSTITUTE OF SCIENCE AND TECHNOLOGY
  • Organizer: MILITARY INSTITUTE OF SCIENCE AND TECHNOLOGY
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