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A NUMERICAL AND ML-BASED STUDY ON MHD THERMAL FLOW CHARACTERISTICS IN WAVY ENCLOSURE WITH A BAFFLE

Students & Supervisors

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

Abstract

The MHD natural convection behavior inside a square enclosure with a single horizontal fin attached to the heated vertical wall was examined numerically in this study. Each enclosure's top and base have adiabatic conditions, while one wall maintains a high temperature and another a low one. Rayleigh numbers, fin lengths, and fin positions were parametrically investigated as part of the heat transfer performance analysis. The fin system's temperature patterns and efficiency were both carefully examined in the study. The results of the study showed that increasing both the fin and the Rayleigh number increased the average Nusselt number. In order to comprehend the dynamics of the relationship between the Nusselt number and the parameters under investigation, this study employed an Artificial Neural Network (ANN) model.

Keywords

Convection Enclosure Rayleigh Nusselt 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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