Multi-objective optimization of a sandwich rectangular-channel liquid cooling plate battery thermal management system: A deep-learning approach

S Mansour, A Jalali, M Ashjaee, E Houshfar - Energy Conversion and …, 2023 - Elsevier
Maintaining the battery's ideal temperature not only does boost its performance but also
lengthens its life span. In this regard, a sandwich cold plate design was proposed and …

[HTML][HTML] Nature's Load-Bearing Design Principles and Their Application in Engineering: A Review

F Breish, C Hamm, S Andresen - Biomimetics, 2024 - mdpi.com
Biological structures optimized through natural selection provide valuable insights for
engineering load-bearing components. This paper reviews six key strategies evolved in …

Development of a hybrid CFD-ANN method with multi-objective optimization for airfoil-finned PCHE used in Gen-IV nuclear systems

J Ding, Q Liu, J Ke, M Deng, G Yu, Y Liang - Progress in Nuclear Energy, 2024 - Elsevier
The airfoil printed circuit heat exchanger (PCHE) is among the most promising exchangers
for the supercritical carbon dioxide Brayton cycles in Gen-IV nuclear systems due to its high …

[HTML][HTML] Modelling of thermo-hydraulic behavior of a helical heat exchanger using machine learning model and fire hawk optimizer

M Mudhsh, EMS El-Said, AO Aseeri, R Almodfer… - Case Studies in Thermal …, 2023 - Elsevier
The study of the fluid flow in heat exchangers and its related mass and heat transfer
processes is a very complicated research subject. Modeling of coupled fluid flow and heat …

An intelligent plate fin-and-tube heat exchanger design system through integration of CFD, NSGA-II, ANN and TOPSIS

N Sun, S Zhang, P **, N Li, S Yang, Z Li… - Expert Systems with …, 2023 - Elsevier
This paper attempts to develop an intelligent plate fin-and-tube heat exchanger (PFTHE)
design system, which is entirely self-programming, to achieve quickly design. The proposed …

Optimized design of helical-finned double pipe heat exchangers via numerical simulation and artificial intelligence

SM Mousavi, AS Azizi, M Razbin, AAR Darzi… - Applied Thermal …, 2025 - Elsevier
Heat exchangers are essential in industrial applications, where optimizing their design offers
significant environmental and economic benefits. However, traditional methods of …

A deep learning‒genetic algorithm approach for aerodynamic inverse design via optimization of pressure distribution

A Shirvani, M Nili-Ahmadabadi, MY Ha - Computer Methods in Applied …, 2024 - Elsevier
Conventional aerodynamic inverse design (AID) methods have major limitations in terms of
optimality and actuality of target parameter distribution. In this research, the target pressure …

A parametric optimization framework for fin-and-tube heat exchangers based on response surface methodology and artificial intelligence

N Sun, S Zhang, H Guo, F Zhao, N Li, M He, Z Li… - Applied Thermal …, 2024 - Elsevier
This study presents a numerical investigation and provides a novel framework for the rapid
parametric optimization of attack angles (α) and aspect ratios (e) in plate fin-and-tube heat …

A bi-level real-time optimal control strategy for thermal coupled multi-zone dedicated outside air system-assisted HVAC systems

Y Liu, C Cui - Energy, 2024 - Elsevier
This paper proposes a bi-level optimal control strategy for thermally coupled multi-zone
dedicated outside air system (DOAS)-assisted HVAC systems, which integrates the deep …

Theoretical design and drainage characteristic of a C-type heat exchanger in duct air conditioner

S Wu, B Luo, F Li, R Zhao, D Huang - Applied Thermal Engineering, 2024 - Elsevier
The conventional duct air conditioner typically uses an A-type heat exchanger for indoor
units, which has poor drainage behavior under wet conditions. In this research, a C-type …