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 …

In this paper an Adaptive Neuro-Fuzzy Inference System (ANFIS) is used for modeling the
effect of important parameters on heat transfer and fluid flow characteristics of helicoidal …

Shell and helically coiled tube heat exchangers (SHCTHEXs) are heat exchangers that only
take up a small space and enable greater heat transfer area compared to traditional models …

In this study, improved prediction methods based on supervised machine-learning
algorithms is proposed to predict the effect of the application of air injection and transverse …

An alternative model using support vector regression (SVR) based on dynamically optimized
search technique with k-fold cross-validation, was proposed to predict the thermal–hydraulic …

In this study, an optimization technique combined with a Random Vector Functional Link
(RVFL) network in the form of a surrogate-assisted approach was carried out for the optimal …

This paper details the selection of machine learning models for predicting the effectiveness
of a heat pipe system in a concentric tube exchanger. Heat exchanger experiments with …

This research aims to assess the in detail thermal performance and entropy generation of a
helical heat exchanger with multiple rib profiles and coil revolutions using water-based Al 2 …

A heat exchanger is a device that is used to transfer thermal energy between two or more
fluids, between a solid surface and a fluid, or between solid particulates and a fluid, at …

In this study, several unique tube configurations are designed and modeled to examine the
thermal and hydraulic performance of a helical tube heat exchanger (HTHE) experimentally …