A hybrid machine LEARNING-CFD method for the innovative analysis of Al2O3 nanoparticle deposition in shell-and-tubes heat exchangers
SH Godasiaei, P Talebizadehsardari - Thermal Science and Engineering …, 2024 - Elsevier
This study examines the intricate dynamics surrounding the deposition of Al 2 O 3
nanoparticles within a heat exchanger, with the aim of optimizing heat transfer efficiency and …
nanoparticles within a heat exchanger, with the aim of optimizing heat transfer efficiency and …
Predictive modeling of microplastic adsorption in aquatic environments using advanced machine learning models
SH Godasiaei - Science of The Total Environment, 2025 - Elsevier
This study addresses the critical environmental concerns surrounding microplastics, aiming
to elucidate the intricate factors influencing their behavior and interactions with organic …
to elucidate the intricate factors influencing their behavior and interactions with organic …
Leveraging machine learning and computational approaches for predicting nanoparticle deposition in shell and tube heat exchangers
SH Godasiaei - Powder Technology, 2024 - Elsevier
This study investigates methods to enhance heat transfer efficiency and analyze fluid
dynamics by examining aluminum oxide nanoparticle deposition in circular tube heat …
dynamics by examining aluminum oxide nanoparticle deposition in circular tube heat …
Optimizing the performance of vapor-deposited perovskite solar cells through advanced predictive modeling
SH Godasiaei - Journal of Materials Science, 2024 - Springer
Perovskite solar cells have emerged as a promising frontier in the realm of renewable
energy due to their notable attributes of high efficiency and cost-effectiveness. This study …
energy due to their notable attributes of high efficiency and cost-effectiveness. This study …
Prediction of thermo-hydraulic properties of flow in an innovative plate heat exchanger using machine learning algorithms
Reducing fuel consumption and toxic gas emissions is a major concern in modern energy
research. This paper investigates the performance and heat transfer enhancement of an …
research. This paper investigates the performance and heat transfer enhancement of an …
Exploring the influence of crystallization fouling on microscale heat exchangers through machine learning analysis
SH Godasiaei - Numerical Heat Transfer, Part A: Applications, 2024 - Taylor & Francis
Crystallization deposition within micro-scale heat exchangers poses significant challenges
to their efficiency and functionality, stemming from the accumulation of crystalline residues …
to their efficiency and functionality, stemming from the accumulation of crystalline residues …
Advanced hybrid modeling of alumina nanoparticle deposition patterns in heat exchangers with triangular tube models
SH Godasiaei - Computational Particle Mechanics, 2024 - Springer
This study meticulously explores the deposition dynamics of aluminum oxide nanoparticles
in a triangular tube heat exchanger to enhance heat transfer efficiency and gas dynamics …
in a triangular tube heat exchanger to enhance heat transfer efficiency and gas dynamics …