Carbon-based nanofluids and their advances towards heat transfer applications—a review
Nanofluids have opened the doors towards the enhancement of many of today's existing
thermal applications performance. This is because these advanced working fluids exhibit …
thermal applications performance. This is because these advanced working fluids exhibit …
An updated review on working fluids, operation mechanisms, and applications of pulsating heat pipes
Y Xu, Y Xue, H Qi, W Cai - Renewable and Sustainable Energy Reviews, 2021 - Elsevier
Global demands for sustainable energy are rising rapidly due to the ever-increasing energy
crisis. Efficient energy management is one of the feasible methods to solve the existing …
crisis. Efficient energy management is one of the feasible methods to solve the existing …
Statistical modeling and investigation of thermal characteristics of a new nanofluid containing cerium oxide powder
In this paper, the thermal conductivity (k nf) of cerium oxide/ethylene glycol nanofluid is
extracted for different temperatures (T= 25, 30, 35, 40, 45, and 50° C) and the volume …
extracted for different temperatures (T= 25, 30, 35, 40, 45, and 50° C) and the volume …
Statistical review of studies on the estimation of thermophysical properties of nanofluids using artificial neural network (ANN)
MH Esfe, MH Kamyab, D Toghraie - Powder Technology, 2022 - Elsevier
The purpose of this study was to evaluate the conducted studies in the field of estimating the
thermophysical properties of nanofluids using the artificial neural network (ANN) technique …
thermophysical properties of nanofluids using the artificial neural network (ANN) technique …
Valorization of fish bone waste as novel bioflocculant for rapid microalgae harvesting: Experimental evaluation and modelling using back propagation artificial neural …
Harvesting of microalgae biomass is identified as one of the bottlenecks in microalgae
biofuel industry due to expensive and energy-intensive dewatering technologies …
biofuel industry due to expensive and energy-intensive dewatering technologies …
[HTML][HTML] Mathematical and artificial neural network modeling to predict the heat transfer of mixed convective electroosmotic nanofluid flow with Helmholtz …
The growing popularity of artificial neural networks (ANNs) is due to their exceptional
capability in handling complex and highly nonlinear mathematical problems. ANNs provide …
capability in handling complex and highly nonlinear mathematical problems. ANNs provide …
Experimental investigation on thermal conductivity of fly ash nanofluid and fly ash-Cu hybrid nanofluid: prediction and optimization via ANN and MGGP model
In the present work, the thermal conductivity (TC) of stable water base fly ash and fly ash-
Copper (80: 20 vol.%) nanofluid was determined experimentally in the temperature range of …
Copper (80: 20 vol.%) nanofluid was determined experimentally in the temperature range of …
Experimental investigation and ANN modelling on CO2 hydrate kinetics in multiphase pipeline systems
Gas hydrates are progressively becoming a key concern when determining the economics
of a reservoir due to flow interruptions, as offshore reserves are produced in ever deeper …
of a reservoir due to flow interruptions, as offshore reserves are produced in ever deeper …
Artificial neural network modeling and optimization of thermophysical behavior of MXene Ionanofluids for hybrid solar photovoltaic and thermal systems
Newly developed MXene materials are excellent contender for improving thermal systems'
high energy and power density. MXene Ionanofluids are novel materials; their optimum …
high energy and power density. MXene Ionanofluids are novel materials; their optimum …
[PDF][PDF] Utilization of Machine Learning Methods in Modeling Specific Heat Capacity of Nanofluids.
Nanofluids are extensively applied in various heat transfer mediums for improving their heat
transfer characteristics and hence their performance. Specific heat capacity of nanofluids, as …
transfer characteristics and hence their performance. Specific heat capacity of nanofluids, as …