A review on the utilized machine learning approaches for modeling the dynamic viscosity of nanofluids
M Ramezanizadeh, MH Ahmadi, MA Nazari… - … and sustainable energy …, 2019 - Elsevier
Nanofluids are broadly applied in energy systems such as solar collector, heat exchanger
and heat pipes. Dynamic viscosity of the nanofluids is among the most important features …
and heat pipes. Dynamic viscosity of the nanofluids is among the most important features …
Artificial intelligence in the field of nanofluids: a review on applications and potential future directions
M Bahiraei, S Heshmatian, H Moayedi - Powder Technology, 2019 - Elsevier
Artificial Intelligence (AI) algorithms are becoming beneficial as substitute methods to
conventional approaches or as components of incorporated systems. They have been …
conventional approaches or as components of incorporated systems. They have been …
Recent advances in machine learning research for nanofluid-based heat transfer in renewable energy system
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 …
energy systems. The heat transfer capacity of the working fluid has a huge impact on the …
Evaluating explorative prediction power of machine learning algorithms for materials discovery using k-fold forward cross-validation
Z ** a new model for rheological behavior of ZnO–Ag (50%–50%)/Water hybrid Newtonian nanofluid using experimental data
B Ruhani, D Toghraie, M Hekmatifar… - Physica A: Statistical …, 2019 - Elsevier
In this paper, the test results, along with the results of data analysis, are presented by graphs
and tables. The effect of volume fraction and temperature on viscosity of a hybrid nanofluid …
and tables. The effect of volume fraction and temperature on viscosity of a hybrid nanofluid …
Experimental evaluation, sensitivity analyzation and ANN modeling of thermal conductivity of ZnO-MWCNT/EG-water hybrid nanofluid for engineering applications
MH Esfe, S Esfandeh, S Saedodin… - Applied Thermal …, 2017 - Elsevier
The thermal conductivity of ZnO-MWCNT/EG-water hybrid nanofluid was experimentally
investigated at solid volume fractions of 0.02–1% and temperatures of 30–50° C. The …
investigated at solid volume fractions of 0.02–1% and temperatures of 30–50° C. The …
Modeling of thermal conductivity of MWCNT-SiO2 (30:70%)/EG hybrid nanofluid, sensitivity analyzing and cost performance for industrial applications: An …
M Hemmat Esfe, S Esfandeh, M Rejvani - Journal of Thermal Analysis and …, 2018 - Springer
In the present study, the thermal conductivity of SiO 2-MWCNT/EG hybrid nanofluid has
been investigated experimentally at solid volume fraction range from 0.025 to 0.86% and …
been investigated experimentally at solid volume fraction range from 0.025 to 0.86% and …
Multi-objective optimization of thermal performance in battery system using genetic and particle swarm algorithm combined with fuzzy logics
A novel technique for multi-objective optimization of thermal management in battery system
using hybrid Genetic algorithm and Fuzzy logic is developed. Secondly, Particle Swarm …
using hybrid Genetic algorithm and Fuzzy logic is developed. Secondly, Particle Swarm …