Performance of joined artificial neural network and genetic algorithm to study the effect of temperature and mass fraction of nanoparticles dispersed in ethanol

Prediction of the pressure drop for CuO/(Ethylene glycol-water) nanofluid flows in the car radiator by means of Artificial Neural Networks analysis integrated with genetic algorithm

(2020) Mohammad Hossein Ahmadi et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

Experimental investigation toward obtaining nanoparticles' surficial interaction with basefluid components based on measuring thermal conductivity of nanofluids

(2019) Reza Naghdi Sedeh et al.   INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER

Effects of dispersed added Graphene Oxide-Silicon Carbide nanoparticles to present a statistical formulation for the mixture thermal properties

(2019) Amirhossein Ansari Mahyari et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

Entropy generation of boehmite alumina nanofluid flow through a minichannel heat exchanger considering nanoparticle shape effect

(2019) Abdullah A.A.A. Al-Rashed et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

Hybrid GMDH-type neural network to predict fluid surface tension, shear stress, dynamic viscosity & sensitivity analysis based on empirical data of iron(II) oxide nanoparticles in light crude oil mixture

(2019) Yu Jiang et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

Artificial intelligence in the field of nanofluids: A review on applications and potential future directions

(2019) Mehdi Bahiraei et al.   POWDER TECHNOLOGY

Numerical investigation on the effect of four constant temperature pipes on natural cooling of electronic heat sink by nanofluids: A multifunctional optimization

(2019) Jalal Alsarraf et al.   ADVANCED POWDER TECHNOLOGY

A novel comprehensive experimental study concerned graphene oxide nanoparticles dispersed in water: Synthesise, characterisation, thermal conductivity measurement and present a new approach of RLSF neural network

(2019) W.I. Liu et al.   INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER

Present a new multi objective optimization statistical Pareto frontier method composed of artificial neural network and multi objective genetic algorithm to improve the pipe flow hydrodynamic and thermal properties such as pressure drop and heat transfer coefficient for non-Newtonian binary fluids

(2019) Huawei Wu et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

Determination of thermal conductivity ratio of CuO/ethylene glycol nanofluid by connectionist approach

(2018) Mohammad-Ali Ahmadi et al.   Journal of the Taiwan Institute of Chemical Engineers

Modeling and prediction of rheological behavior of Al2O3-MWCNT/5W50 hybrid nano-lubricant by artificial neural network using experimental data

(2018) Mohammad Hemmat Esfe et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

A new experimental correlation for non-Newtonian behavior of COOH-DWCNTs/antifreeze nanofluid

(2018) Farhad Izadi et al.   PHYSICA E-LOW-DIMENSIONAL SYSTEMS & NANOSTRUCTURES

An experimental study on stability and thermal conductivity of water/silica nanofluid: Eco-friendly production of nanoparticles

(2018) Ramin Ranjbarzadeh et al.   JOURNAL OF CLEANER PRODUCTION

A hybrid artificial neural network-genetic algorithm modeling approach for viscosity estimation of graphene nanoplatelets nanofluid using experimental data

(2017) M. Vakili et al.   INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER

Effect of Particle Size on Thermal Conductivity of Nanofluid

(2008) M. Chopkar et al.   METALLURGICAL AND MATERIALS TRANSACTIONS A-PHYSICAL METALLURGY AND MATERIALS SCIENCE