Growing need to develop and improve the effectiveness of heat exchangers has led to a
broad range of investigations for increasing heat transfer rate along with decreasing the size …

Artificial neural networks (ANN) have been widely used for thermal analysis of heat
exchangers during the last two decades. In this paper, the applications of ANN for thermal …

With the increasing high heat transfer requirement of modern industry, it is still an important
issue that how to improve the thermal performance of heat exchangers efficiently. The …

Due to its predictive nature, Social Media has proved to be an important resource in support
of the identification of trends. In Customer Relationship Management there is a need beyond …

In this study, Artificial Neural Network (ANN) models were developed to predict the heat
transfer and friction factor in helically coiled tubes. The experiments were carried out with hot …

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 …

The purpose of this review summarizes the recent published papers on the heat transfer and
fluid flow characteristics in curved tubes using conventional fluids and nanofluids as working …

This study investigates in details the applicability of Adaptive Neuro-Fuzzy Inference System
(ANFIS) approach for predicting the performance parameters of a solar thermal energy …

In this investigation, the combined use of twisted tubes and nanofluid (NF) to augment the
performance of a double-pipe heat exchanger (DPHE) has been considered numerically …

Desirable effective viscosity behaviour is an essential transport property required for the
effective utilisation of nanofluids in industrial systems as well as other applications. Viscosity …