Thermal optimization of shell and tube heat exchanger using porous baffles

MH Mohammadi, HR Abbasi, A Yavarinasab… - Applied Thermal …, 2020 - Elsevier
In this study, total heat transfer rate and pressure drop along a shell and tube heat
exchanger (STHX) with 6 porous baffles are numerically investigated. To study the impacts …

Study on thermal-hydraulic performance of printed circuit heat exchangers with supercritical methane based on machine learning methods

Q Li, Q Zhan, S Yu, J Sun, W Cai - Energy, 2023 - Elsevier
In this study, a machine learning approach was used to predict thermal-hydraulic
performance of supercritical methane flow in a printed circuit heat exchanger (PCHE). Local …

[HTML][HTML] Prediction of heat transfer enhancement of delta-wing tape inserts using artificial neural network

MZA Khan, M Aziz, AT Wijayanta - Case Studies in Thermal Engineering, 2021 - Elsevier
This work adopts the artificial neural network (ANN) for predicting the efficiency of a double-
pipe heat exchanger which employs TW tape inserts with different wing-width ratios (w/W) of …

Analyses of thermal performance and pressure drop in a plate heat exchanger filled with ferrofluids under a magnetic field

D Zheng, J Yang, J Wang, S Kabelac, B Sundén - Fuel, 2021 - Elsevier
This paper experimentally investigates the effect of various magnetic fields on the
performance of a plate heat exchanger filled with ferrofluids. Spherical nanoparticles Fe 3 O …

Artificial neural network and adaptive neuro-fuzzy interface system modelling to predict thermal performances of thermoelectric generator for waste heat recovery

KS Garud, JH Seo, CP Cho, MY Lee - Symmetry, 2020 - mdpi.com
The present study elaborates the suitability of the artificial neural network (ANN) and
adaptive neuro-fuzzy interface system (ANFIS) to predict the thermal performances of the …

Estimation of forced heat convection in a rectangular channel with curved-winglet vortex generator: A machine learning approach

A Berber, M Guerdal - Thermal Science and Engineering Progress, 2023 - Elsevier
There are a limited number of studies in the literature on the effect of curved fins on heat
transfer. In this study, the effect of novel fin geometry and angle of attack of winglet (α= 30° …

Multi-purpose prediction of the various edge cut twisted tape insert characteristics: multilayer perceptron network modeling

MM Tafarroj, G Zarabian Ghaeini, JA Esfahani… - Journal of Thermal …, 2021 - Springer
In the current study, the artificial neural network modeling of the Nusselt number and friction
factor of a heat exchanger, equipped with the twisted tapes to enhance the heat transfer …

Experimental study of turbulent forced convection heat transfer and friction factor in dimpled plate heat exchanger

DP Soman, S Karthika, P Kalaichelvi… - Applied Thermal …, 2019 - Elsevier
In this work, heat transfer behaviour of γ-Al 2 O 3/water nanofluid in turbulent flow condition
in a dimple plate heat exchanger is investigated. The effects of flow rates of hot and cold …

A universal ANN-based approach predicting PCHEs' off-design performance across various operating conditions of sCO2 RCBCs

X Sui, S Yao, C Liu, N Guo, W Wang, P Dong - Applied Thermal …, 2024 - Elsevier
This paper proposes a universal approach that employs artificial neural networks (ANN) to
predict the off-design performance of printed circuit heat exchangers (PCHEs) using …

A new method for building single feedforward neural network models for multivariate static regression problems: a combined weight initialization and constructive …

GAG de Sá, CH Fontes, M Embiruçu - Evolutionary Intelligence, 2024 - Springer
The performance of models based on a Feedforward Neural Network depends strongly on
the initial estimate of weights and the number of units in the hidden layers. This work …