Comparative analysis of CFD and adaptive neural fuzzy inference system for predicting heat transfer enhancement in water-Fe2O3 nanofluids across various flow …

GSC Espín, FCB Parra, KCD Santos, L Buenaño - Thermal Science, 2024 - doiserbia.nb.rs
Models for enhancement of heat transfer in nanofluids made wide use of ANFIS and the
multiphase Mixture model in recent years. These models originate from two separate but …

Prediction of nanofluid thermal conductivity and viscosity with machine learning and molecular dynamics

F Ajila, S Manokaran, K Ramaswamy… - Thermal …, 2024 - doiserbia.nb.rs
It is well-known that nanofluids differ significantly from traditional heat transfer fluids in terms
of their thermal and transfer characteristics. Two of carbon dioxide's transfer characteristics …

Innovative simulation of Al2O3 nanofluid heat transfer using advanced machine learning methods

C Serrano, E Jácome, E Pozo, S Choto, P Abarca… - Thermal …, 2024 - doiserbia.nb.rs
In both turbulent and laminar pipe flows, we were able to accurately forecast the beginning
range of the convective thermal transferring coefficients of Al2O3 magnetized nanofluids …

Enhancing solar still distillation efficiency through integrated solar chimneys and submerged condenser systems

B Varadhan, CA Subasini, G Palani, M Selvaraju - Thermal Science, 2024 - doiserbia.nb.rs
A solar chimney has been studied in this research to increase the efficacy of still convection
currents. The usage of a condenser also improved the condensation process. Solar still …

COMPARATIVE ANALYSIS OF CFD AND ANFIS FOR PREDICTING HEAT TRANSFER ENHANCEMENT IN WATER-Fe2O3 NANOFLUIDS ACROSS VARIOUS …

C German-SANTIANA ESPIN… - Thermal …, 2024 - search.ebscohost.com
Abstract Models for enhancement of heat transfer in nanofluids made wide use of adaptive
neural fuzzy inference system (ANFIS) and the multi-phase mixture model in recent years …