Carbon nanotubes (CNTs) are known to be capable of enhancing optical and thermal
properties of fluids prominently. Due to the modified features of the nanofluids with …

Employing renewable energy sources for power generation have been developed in recent
years due to their several benefits including low emission of greenhouse gases and their …

Nanofluids have gained significant popularity in the field of sustainable and renewable
energy systems. The heat transfer capacity of the working fluid has a huge impact on the …

Abstract In this paper, Artificial Neural Network (ANN) was used to investigate the influence
of temperature and volume fraction of nanoparticles on the thermal conductivity of Graphene …

Thermophysical properties of hybrid nanofluids remarkably affect their behavior in
engineering systems. Among these properties, dynamic viscosity and thermal conductivity …

A two-stage gasification has been proven as an effective and robust approach for converting
low-valued and/or highly heterogeneous materials ie waste, into hydrogen and/or syngas …

Nanofluids containing alumina nanoparticles have been used in different thermal devices
due to their favorable characteristics including ease of synthesis, relatively high stability and …

Heat exchangers are applicable in different industries and technologies, and their
performance is influenced by different parameters. In addition to experimental and time …

In the present case study, the thermal performance of fins for a novel axial finned-tube heat
exchanger is investigated and predicted using machine learning regression technique. The …

Thermal conductivity is one of the crucial properties of nano enhanced phase change
materials (NEPCM). Then, in this study three different machine learning methods namely …