Παρακολούθηση
Nabil Mohammad Chowdhury
Nabil Mohammad Chowdhury
Lecturer in Mechanical Engineering, Ahsanullah University of Science and Technology
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα aust.edu
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Παρατίθεται από
Παρατίθεται από
Έτος
A novel pin finned structure-embedded microchannel heat sink: CFD-data driven MLP, MLR, and XGBR machine learning models for thermal and fluid flow prediction
FT Zohora, F Akter, MA Haque, NM Chowdhury, MR Haque
Energy 307, 132646, 2024
82024
A novel case of honeycomb shaped pin fin heat sink: CFD-data driven machine learning models for thermal performance prediction
KM Elahi, NM Chowdhury, MR Haque, MM Rashid, MM Hossain, T Sadi
Case Studies in Thermal Engineering 61, 105088, 2024
32024
Numerical investigation on consecutive charging and discharging of PCM with Modified longitudinal fins in shell and tube thermal energy storage
MK Fahad, NF Ifraj, MR Haque, NM Chowdhury
Results in Engineering 24, 103577, 2024
22024
Optimization of hydrothermal performance in industrial heat sinks with innovative perforated pin fin designs: A numerical approach
FT Zohora, MR Haque, NM Chowdhury, MK Fahad, NF Ifraj
Heliyon 11 (1), 2025
2025
Cfd Data-Driven Machine Learning Predictions Of Thermal-Hydraulic of Y-Shaped Inserts with Novel Diamond-Shaped Protrusions in Tubular Heat Exchangers
NF Ifraj, MK Fahad, F Tuj Zohora, NM Chowdhury, MR Haque
Available at SSRN 5132172, 0
Augmentation of Convection Heat Transfer in Bioinspired Corrugated Channels Using Cfd and Machine Learning Approaches
A Das, ST Sarwar, NK Das, NM Chowdhury, AU Musanna, AQ Jony
Available at SSRN 5098383, 0
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