4.7 Article

ANFIS modelling with fuzzy C-mean clustering of experimentally evaluated thermophysical properties of zirconia-water nanofluids

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Engineering, Chemical

Effect of surfactants on the stability, rheological properties, and thermal conductivity of Fe3O4 nanofluids

Jiajie Lei et al.

Summary: In this study, the stability, rheological behavior, and thermal conductivity of Fe3O4 nanofluids were investigated. The experimental results showed that TMAH had the best stability, with the optimal mass ratio of Fe3O4 to TMAH being 1:4. PVP had the greatest effect on the viscosity of nanofluids, while SDS had the greatest effect on thermal conductivity.

POWDER TECHNOLOGY (2022)

Article Engineering, Chemical

Experimental investigation and artificial intelligent estimation of thermal conductivity of nanofluids with different nanoparticles shapes

Wei Cui et al.

Summary: This study investigates the factors influencing the effective thermal conductivity of nanofluids and reveals that temperature, nanoparticle concentration, and nanoparticle shape play significant roles. Experimental data and artificial intelligence models were used to determine the optimal AI-based model for estimating the relative thermal conductivity of nanofluids.

POWDER TECHNOLOGY (2022)

Article Thermodynamics

Thermal conductivity prediction of titania-water nanofluid: A case study using different machine learning algorithms

Palash Sharma et al.

Summary: In this study, the thermal conductivity of titania-water nanofluid was predicted using five different machine learning algorithms. The shape of the nanoparticles was found to significantly influence the thermal conductivity predictions. Gradient boosting was determined to be the best algorithm for predicting thermal conductivity.

CASE STUDIES IN THERMAL ENGINEERING (2022)

Article Chemistry, Physical

Stability and thermal conductivity of TiO2/water nanofluids: A comparison of the effects of surfactants and surface modification

Hao Zhang et al.

Summary: In this study, gamma-glycidoxypropyltrimethoxysilane (GPTMS) modified TiO2/water nanofluids were prepared using surface modification technique. The characteristics of the modified nanoparticles were investigated, showing that the grafting efficiency of GPTMS increased with reaction temperature and reactant mass ratio. The stability and thermal conductivity of the prepared nanofluids were investigated, indicating that the GPTMS modified nanofluids exhibited excellent stability and higher thermal conductivity.

COLLOIDS AND SURFACES A-PHYSICOCHEMICAL AND ENGINEERING ASPECTS (2022)

Article Chemistry, Inorganic & Nuclear

Effects of Sonication Period on Colloidal Stability and Thermal Conductivity of SiO2-Water Nanofluid: An Experimental Investigation

Sayantan Mukherjee et al.

Summary: The study shows that increasing sonication time is crucial for enhancing the stability and thermal conductivity of SiO2-water nanofluid. It is also found that at lower temperatures, sonication plays a dominant role in enhancing the thermal conductivity of nanofluids. A minimum of 2.5 hours of sonication is required for better performance of the nanofluids.

JOURNAL OF CLUSTER SCIENCE (2022)

Article Thermodynamics

Experimental study on thermal conductivity of kerosene-based nanofluids

Wenhui Fan et al.

Summary: The paper experimentally studies the thermal conductivity of kerosene-based nanofluids, including the effects of different particles, particle size, particle concentration and temperature. The results show that the thermal conductivity of kerosene-based nanofluids increases with temperature and is influenced by different particles. The experimental results are in good agreement with the theoretical model proposed for water-based nanofluids.

THERMOCHIMICA ACTA (2022)

Article Thermodynamics

Experimental study of viscosity and thermal conductivity of water based Fe3O4 nanofluid with highly disaggregated particles

Zeyu Liu et al.

Summary: This research aims to experimentally study the viscosity and thermal conductivity of water-based Fe3O4 nanofluid with highly disaggregated nanoparticles. The experimental results show that modified Fe3O4 nanofluid exhibits good viscosity and thermal conductivity when nanoparticles are highly disaggregated.

CASE STUDIES IN THERMAL ENGINEERING (2022)

Article Thermodynamics

ANN modelling and experimental investigation on effective thermal conductivity of ethylene glycol:water nanofluids

K. Marigowda Yashawantha et al.

Summary: This study prepared nanofluids based on EG-water and different nanoparticles to enhance thermal conductivity, which showed a significant improvement. Correlations were developed and ANN modelling was conducted to predict thermal conductivity, with ANN modelling proving to be more accurate.

JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY (2021)

Article Energy & Fuels

Experimental study for thermal conductivity of water-based zirconium oxide nanofluid: Developing optimal artificial neural network and proposing new correlation

Andac Batur Colak

Summary: In this study, five different water-based ZrO(2)nanofluids were prepared at different concentrations, and their thermal conductivity was experimentally measured. Using the data obtained, an artificial neural network and a new correlation were developed to predict the thermal conductivity values, showing perfect agreement with the experimental data.

INTERNATIONAL JOURNAL OF ENERGY RESEARCH (2021)

Article Engineering, Mechanical

Modeling of mixed convection in an enclosure using multiple regression, artificial neural network, and adaptive neuro-fuzzy interface system models

Ece Ayli

PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE (2020)

Review Thermodynamics

A review on the applications of intelligence methods in predicting thermal conductivity of nanofluids

Mahdi Ramezanizadeh et al.

JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY (2019)

Article Chemistry, Physical

A comprehensive model for effective density of nanofluids based on particle clustering and interfacial layer formation

R. Deepak Selvakumar et al.

JOURNAL OF MOLECULAR LIQUIDS (2019)

Article Engineering, Multidisciplinary

Developing an ANFIS-based swarm concept model for estimating the relative viscosity of nanofluids

Alireza Baghban et al.

ENGINEERING APPLICATIONS OF COMPUTATIONAL FLUID MECHANICS (2019)

Article Thermodynamics

Development of a new density correlation for carbon-based nanofluids using response surface methodology

Elham Montazer et al.

JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY (2018)

Proceedings Paper Materials Science, Multidisciplinary

Effects of sonication time and temperature on thermal conductivity of CuO/water and Al2O3/water nanofluids with and without surfactant

R. Gangadevi et al.

MATERIALS TODAY-PROCEEDINGS (2018)

Article Chemistry, Physical

Experimental investigation of thermophysical properties of Al2O3-water nanofluid: Role of surfactants

Pritam Kumar Das et al.

JOURNAL OF MOLECULAR LIQUIDS (2017)

Article Thermodynamics

Application of three-level general factorial design approach for thermal conductivity of MgO/water nanofluids

Mohammad Hemmat Esfe et al.

APPLIED THERMAL ENGINEERING (2017)

Article Thermodynamics

Thermophysical properties of water based Cu nanofluid used in special type of coil heat exchanger

Joanna Wilk et al.

APPLIED THERMAL ENGINEERING (2017)

Article Thermodynamics

Experimental evaluation and ANN modeling of thermal conductivity of graphene oxide nanoplatelets/deionized water nanofluid

M. Tahani et al.

INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER (2016)

Article Thermodynamics

A new model for density of nanofluids including nanolayer

Mohsen Sharifpur et al.

INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER (2016)

Article Thermodynamics

Using artificial neural network to predict thermal conductivity of ethylene glycol with alumina nanoparticle

Mohammad Hemmat Esfe et al.

JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY (2016)

Article Thermodynamics

Specific heat of metal oxide nanofluids at high concentrations for heat transfer

D. Cabaleiro et al.

INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER (2015)

Article Thermodynamics

Thermal conductivity modeling of MgO/EG nanofluids using experimental data and artificial neural network

Mohammad Hemmat Esfe et al.

JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY (2014)

Article Biotechnology & Applied Microbiology

Measurement of Specific Heat of Nanofluids

T. Yiamsawasd et al.

CURRENT NANOSCIENCE (2012)

Proceedings Paper Thermodynamics

Characterization of physical properties of nanofluids for heat transfer application

R. Mondragon et al.

6TH EUROPEAN THERMAL SCIENCES CONFERENCE (EUROTHERM 2012) (2012)

Article Thermodynamics

Investigation of viscosity and thermal conductivity of SiC nanofluids for heat transfer applications

Seung Won Lee et al.

INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER (2011)

Article Chemistry, Physical

Rheological Behaviors of Nanofluids Containing Multi-Walled Carbon Nanotube

Lifei Chen et al.

JOURNAL OF DISPERSION SCIENCE AND TECHNOLOGY (2011)

Article Chemistry, Multidisciplinary

Determination of effective specific heat of nanofluids

S. M. Sohel Murshed

JOURNAL OF EXPERIMENTAL NANOSCIENCE (2011)

Article Thermodynamics

Specific Heat Measurement of Three Nanofluids and Development of New Correlations

Ravikanth S. Vajjha et al.

JOURNAL OF HEAT TRANSFER-TRANSACTIONS OF THE ASME (2009)

Article Energy & Fuels

Density Measurement of Different Nanofluids and Their Comparison With Theory

R. S. Vajjha et al.

PETROLEUM SCIENCE AND TECHNOLOGY (2009)

Article Thermodynamics

Investigations of thermal conductivity and viscosity of nanofluids

S. M. S. Murshed et al.

INTERNATIONAL JOURNAL OF THERMAL SCIENCES (2008)

Article Thermodynamics

Enhancement of thermal conductivity with Cu for nanofluids using chemical reduction method

Min-Sheng Liu et al.

INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER (2006)