An insight into the prediction of TiO2/water nanofluid viscosity through intelligence schemes

Predicting the efficiency of CuO/water nanofluid in heat pipe heat exchanger using neural network

(2019) Heydar Maddah et al.   INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER

Thermal conductivity ratio prediction of Al 2 O 3 /water nanofluid by applying connectionist methods

(2018) Mohammad Hossein Ahmadi et al.   COLLOIDS AND SURFACES A-PHYSICOCHEMICAL AND ENGINEERING ASPECTS

A new comprehensive model for relative viscosity of various nanofluids using feed-forward back-propagation MLP neural networks

(2018) H.R. Ansari et al.   INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER

Application of artificial neural networks for viscosity of crude oil-based nanofluids containing oxides nanoparticles

(2018) Fahimeh Derakhshanfard et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Toward a modeling study of thermal conductivity of nanofluids using LSSVM strategy

(2018) Alireza Baghban et al.   JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY

A proposed model to predict thermal conductivity ratio of Al2O3/EG nanofluid by applying least squares support vector machine (LSSVM) and genetic algorithm as a connectionist approach

(2018) Mohammad Hossein Ahmadi et al.   JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY

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

Using artificial neural network for investigating of concurrent effects of multi-walled carbon nanotubes and alumina nanoparticles on the viscosity of 10W-40 engine oil

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

Investigation of permeability effect on slip velocity and temperature jump boundary conditions for FMWNT/Water nanofluid flow and heat transfer inside a microchannel filled by a porous media

(2018) Mehdi Nojoomizadeh et al.   PHYSICA E-LOW-DIMENSIONAL SYSTEMS & NANOSTRUCTURES

A comparison of performance of several artificial intelligence methods for predicting the dynamic viscosity of TiO2/SAE 50 nano-lubricant

(2018) Mohammad Hemmat Esfe et al.   PHYSICA E-LOW-DIMENSIONAL SYSTEMS & NANOSTRUCTURES

Convective heat transfer and pressure drop of aqua based TiO 2 nanofluids at different diameters of nanoparticles: Data analysis and modeling with artificial neural network

(2018) Mohammad Hemmat Esfe et al.   PHYSICA E-LOW-DIMENSIONAL SYSTEMS & NANOSTRUCTURES

On the evaluation of the viscosity of nanofluid systems: Modeling and data assessment

(2018) Abdolhossein Hemmati-Sarapardeh et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Evaluation of MWCNTs-ZnO/5W50 nanolubricant by design of an artificial neural network for predicting viscosity and its optimization

(2018) Mohammad Hemmat Esfe et al.   JOURNAL OF MOLECULAR LIQUIDS

Experimental study on rheological behavior of monograde heavy-duty engine oil containing CNTs and oxide nanoparticles with focus on viscosity analysis

(2018) Mohammad Hemmat Esfe et al.   JOURNAL OF MOLECULAR LIQUIDS

The evaluation on a new non-Newtonian hybrid mixture composed of TiO2/ZnO/EG to present a statistical approach of power law for its rheological and thermal properties

(2018) Peyman Mirzakhani Nafchi et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

CFD modeling and predicting the performance of direct absorption of nanofluids in trough collector

(2018) Mohammad Mahdi Tafarroj et al.   APPLIED THERMAL ENGINEERING

Prediction of CO 2 loading capacities of aqueous solutions of absorbents using different computational schemes

(2017) Alireza Baghban et al.   International Journal of Greenhouse Gas Control

Rigorous modeling of CO 2 equilibrium absorption in ionic liquids

(2017) Alireza Baghban et al.   International Journal of Greenhouse Gas Control

Predicting the effective viscosity of nanofluids for the augmentation of heat transfer in the process industries

(2017) Ali Aminian   JOURNAL OF MOLECULAR LIQUIDS

A novel experimental investigation on the effect of nanoparticles composition on the rheological behavior of nano-hybrids

(2017) Mohammad Hemmat Esfe et al.   JOURNAL OF MOLECULAR LIQUIDS

Prediction viscosity of ionic liquids using a hybrid LSSVM and group contribution method

(2017) Alireza Baghban et al.   JOURNAL OF MOLECULAR LIQUIDS

Development of robust generalized models for estimating the normal boiling points of pure chemical compounds

(2017) Amir Varamesh et al.   JOURNAL OF MOLECULAR LIQUIDS

Hybrid Recommendation System for Heart Disease Diagnosis based on Multiple Kernel Learning with Adaptive Neuro-Fuzzy Inference System

(2017) Gunasekaran Manogaran et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Influence of T-semi attached rib on turbulent flow and heat transfer parameters of a silver-water nanofluid with different volume fractions in a three-dimensional trapezoidal microchannel

(2017) Habibollah Alipour et al.   PHYSICA E-LOW-DIMENSIONAL SYSTEMS & NANOSTRUCTURES

Evaluation of thermal conductivity of MgO-MWCNTs/EG hybrid nanofluids based on experimental data by selecting optimal artificial neural networks

(2017) Masoud Vafaei et al.   PHYSICA E-LOW-DIMENSIONAL SYSTEMS & NANOSTRUCTURES

Predicting the effects of magnesium oxide nanoparticles and temperature on the thermal conductivity of water using artificial neural network and experimental data

(2017) Masoud Afrand et al.   PHYSICA E-LOW-DIMENSIONAL SYSTEMS & NANOSTRUCTURES

Rheological behavior characteristics of TiO2-MWCNT/10w40 hybrid nano-oil affected by temperature, concentration and shear rate: An experimental study and a neural network simulating

(2017) Mohammad Hemmat Esfe et al.   PHYSICA E-LOW-DIMENSIONAL SYSTEMS & NANOSTRUCTURES

Estimation of air dew point temperature using computational intelligence schemes

(2016) Alireza Baghban et al.   APPLIED THERMAL ENGINEERING

Computational intelligent strategies to predict energy conservation benefits in excess air controlled gas-fired systems

(2016) Alireza Bahadori et al.   APPLIED THERMAL ENGINEERING

Accurate determination of the CO2-crude oil minimum miscibility pressure of pure and impure CO2streams: A robust modelling approach

(2016) Abdolhossein Hemmati-Sarapardeh et al.   CANADIAN JOURNAL OF CHEMICAL ENGINEERING

Accurate prediction of nanofluid viscosity using a multilayer perceptron artificial neural network (MLP-ANN)

(2016) Elham Heidari et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Designing an artificial neural network to predict dynamic viscosity of aqueous nanofluid of TiO2 using experimental data

(2016) Mohammad Hemmat Esfe et al.   INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER

Estimation of thermal conductivity of Al2O3/water (40%)–ethylene glycol (60%) by artificial neural network and correlation using experimental data

(2016) Mohammad Hemmat Esfe et al.   INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER

An accurate RBF-NN model for estimation of viscosity of nanofluids

(2016) Ali Barati-Harooni et al.   JOURNAL OF MOLECULAR LIQUIDS

A novel correlation approach for viscosity prediction of water based nanofluids of Al 2 O 3 , TiO 2 , SiO 2 and CuO

(2016) Mahdi Kalantari Meybodi et al.   Journal of the Taiwan Institute of Chemical Engineers

Viscosity and rheological properties of ethylene glycol+water+Fe3O4 nanofluids at various temperatures: Experimental and thermodynamics modeling

(2016) Saeid Atashrouz et al.   KOREAN JOURNAL OF CHEMICAL ENGINEERING

Comparison of viscosity variation formulations for turbulent flow of Al2O3–water nanofluid over a heated cavity in a duct

(2015) Chahrazed Abdellahoum et al.   ADVANCED POWDER TECHNOLOGY

Prediction of viscosity of water-based Al2O3, TiO2, SiO2, and CuO nanofluids using a reliable approach

(2015) Mahdi Kalantari Meybodi et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Applicability of artificial neural network and nonlinear regression to predict thermal conductivity modeling of Al2O3–water nanofluids using experimental data

(2015) Mohammad Hemmat Esfe et al.   INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER

Modeling and estimation of thermal conductivity of MgO–water/EG (60:40) by artificial neural network and correlation

(2015) Mohammad Hemmat Esfe et al.   INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER

Thermal conductivity of Cu/TiO2–water/EG hybrid nanofluid: Experimental data and modeling using artificial neural network and correlation

(2015) Mohammd Hemmat Esfe et al.   INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER

Applications of feedforward multilayer perceptron artificial neural networks and empirical correlation for prediction of thermal conductivity of Mg(OH) 2 –EG using experimental data

(2015) Mohammad Hemmat Esfe et al.   INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER

Designing an artificial neural network to predict thermal conductivity and dynamic viscosity of ferromagnetic nanofluid

(2015) Mohammad Hemmat Esfe et al.   INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER

Development of new correlations for the Nusselt number and the friction factor under turbulent flow of nanofluids in flat tubes

(2015) Ravikanth S. Vajjha et al.   INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER

Prediction carbon dioxide solubility in presence of various ionic liquids using computational intelligence approaches

(2015) Alireza Baghban et al.   JOURNAL OF SUPERCRITICAL FLUIDS

Thermal conductivity and viscosity of Mg(OH)2-ethylene glycol nanofluids

(2015) Mohammad Hemmat Esfe et al.   JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY

Using an artificial neural network to predict carbon dioxide compressibility factor at high pressure and temperature

(2015) Erfan Mohagheghian et al.   KOREAN JOURNAL OF CHEMICAL ENGINEERING

Modeling and prediction of viscosity of water-based nanofluids by radial basis function neural networks

(2015) Ningbo Zhao et al.   POWDER TECHNOLOGY

An experimental investigation and new correlation of viscosity of ZnO–EG nanofluid at various temperatures and different solid volume fractions

(2014) Mohammad Hemmat Esfe et al.   EXPERIMENTAL THERMAL AND FLUID SCIENCE

Estimation of the viscosity of nine nanofluids using a hybrid GMDH-type neural network system

(2014) Saeid Atashrouz et al.   FLUID PHASE EQUILIBRIA

Efficiency of ferromagnetic nanoparticles suspended in ethylene glycol for applications in energy devices: Effects of particle size, temperature, and concentration

(2014) Mohammad Hemmat Esfe et al.   INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER

Mixed convection of copper–water nanofluid in a shallow inclined lid driven cavity using the lattice Boltzmann method

(2014) Arash Karimipour et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

Experimental studies on the viscosity of TiO2 and Al2O3 nanoparticles suspended in a mixture of ethylene glycol and water for high temperature applications

(2013) Thaklaew Yiamsawas et al.   APPLIED ENERGY

Viscosity studies on novel copper oxide–coconut oil nanofluid

(2013) M. Nabeel Rashin et al.   EXPERIMENTAL THERMAL AND FLUID SCIENCE

Experimental studies on the convective heat transfer performance and thermophysical properties of MgO–water nanofluid under turbulent flow

(2013) Mohammad Hemmat Esfe et al.   EXPERIMENTAL THERMAL AND FLUID SCIENCE

Viscosity of nanofluids based on an artificial intelligence model

(2013) M. Mehrabi et al.   INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER

A semi-analytical model for the thermal conductivity of nanofluids and determination of the nanolayer thickness

(2013) C.Y. Tso et al.   INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER

An adaptive neural fuzzy network clothing comfort evaluation model and application in digital home

(2013) Ruomei Wang et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Artificial neural network as an applicable tool to predict the binary heat capacity of mixtures containing ionic liquids

(2012) Mostafa Lashkarbolooki et al.   FLUID PHASE EQUILIBRIA

Thermal diffusivity of nanofluids composed of rod-shaped silver nanoparticles

(2012) Misha Hari et al.   INTERNATIONAL JOURNAL OF THERMAL SCIENCES

Role of interfacial layer and clustering on the effective thermal conductivity of CuO–gear oil nanofluids

(2011) Madhusree Kole et al.   EXPERIMENTAL THERMAL AND FLUID SCIENCE

Viscosity of water based SWCNH and TiO2 nanofluids

(2011) Sergio Bobbo et al.   EXPERIMENTAL THERMAL AND FLUID SCIENCE

Application of Artificial Neural Network (ANN) for the prediction of thermal conductivity of oxide–water nanofluids

(2011) Giovanni A. Longo et al.   Nano Energy

CuO in water nanofluid: Influence of particle size and polydispersity on volumetric behaviour and viscosity

(2010) M.J. Pastoriza-Gallego et al.   FLUID PHASE EQUILIBRIA

Effects of Temperature and Particle Size on the Thermal Property Measurements of Al2O3−Water Nanofluids

(2010) D. Kwek et al.   JOURNAL OF CHEMICAL AND ENGINEERING DATA

Dependence of Nanofluid Viscosity on Particle Size and pH Value

(2009) Zhao Jia-Fei et al.   CHINESE PHYSICS LETTERS

Measurement of temperature-dependent thermal conductivity and viscosity of TiO2-water nanofluids

(2009) Weerapun Duangthongsuk et al.   EXPERIMENTAL THERMAL AND FLUID SCIENCE

Thermal Conductivity and Viscosity Measurements of Water-Based TiO2 Nanofluids

(2009) A. Turgut et al.   INTERNATIONAL JOURNAL OF THERMOPHYSICS

Rheological and flow characteristics of nanofluids: Influence of electroviscous effects and particle agglomeration

(2009) K. B. Anoop et al.   JOURNAL OF APPLIED PHYSICS

Flank wear prediction in drilling using back propagation neural network and radial basis function network

(2007) S.S. Panda et al.   APPLIED SOFT COMPUTING

Investigations of thermal conductivity and viscosity of nanofluids

(2007) S.M.S. Murshed et al.   INTERNATIONAL JOURNAL OF THERMAL SCIENCES