Modeling and Prediction of the Dynamic Viscosity of Nanofluids by a Homogenization Method

被引:5
作者
Zaaroura, Ibrahim [1 ,2 ]
Reda, Hilal [3 ]
Lefebvre, Fabrice [2 ]
Carlier, Julien [2 ]
Toubal, Malika [2 ]
Harmand, Souad [1 ]
Nongaillard, Bertrand [2 ]
Lakiss, Hassan [3 ]
机构
[1] Univ Polytech Hauts de France, CNRS, UMR 8201, LAMIH Lab Automat Mecan & Informat Ind & Humaines, F-F59313 Valenciennes, France
[2] Univ Polytech Hauts de France, CNRS, YNCREA, Cent Lille,Univ Lille,IEMN DOAE,UMR 8520, F-59313 Valenciennes, France
[3] Lebanese Univ, Sect 3, Fac Engn, Campus Rafic Hariri, Beirut, Lebanon
关键词
Nanofluids; Shear viscosity; Finite element method; Homogenization; Creep function; THERMAL-CONDUCTIVITY; HEAT-TRANSFER; EVAPORATION; OXIDE; ENHANCEMENT; DROPLETS;
D O I
10.1007/s13538-021-00909-4
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
Nanofluids are an innovative technology that can be used to improve the efficiency of heat transfer in systems such as coolers. Thermal system design requires access to all the physical properties of the nanofluids among which viscosity, thermal conductivity, and so on. Viscosity is an important flow property of fluids. Literally, viscosity analysis is quite essential for determining the thermofluidic behavior of heat transfer fluids. Therefore, we developed a new micromechanical model using the finite element method to calculate the dynamic viscosity of different types of nanofluids with different volume concentrations. The finite element method (FEM) model, using FreeFem + + software, is compared to an analytical creep function that provides a way to extract the viscosity when constant shear stress on the 2DKelvin-Voigt medium is applied. The model results showed a very good agreement compared to the experimental data from the literature. Also, this model was compared to some viscosity correlations such as Einstein, Brinkman, Batchelor, Corcione, and Rudyak.
引用
收藏
页码:1136 / 1144
页数:9
相关论文
共 50 条
[21]   Systematic Experimental Study of the Viscosity of Nanofluids [J].
Minakov, Andrey V. ;
Rudyak, Valery Ya. ;
Pryazhnikov, Maxim I. .
HEAT TRANSFER ENGINEERING, 2021, 42 (12) :1024-1040
[22]   A modified prediction model for viscosity of nanofluids based on molecular dynamics simulation [J].
Cui, Wenzheng ;
Shen, Zhaojie ;
Yang, Jianguo ;
Wu, Shaohua .
OPTOELECTRONICS AND ADVANCED MATERIALS-RAPID COMMUNICATIONS, 2015, 9 (3-4) :497-501
[23]   Dynamic viscosity prediction of nanofluids using artificial neural network (ANN) and genetic algorithm (GA) [J].
Topal, Halil Ibrahim ;
Erdogan, Beytullah ;
Kocar, Oguz ;
Onur, Tugba Ozge ;
Oztop, Hakan F. .
JOURNAL OF THE BRAZILIAN SOCIETY OF MECHANICAL SCIENCES AND ENGINEERING, 2024, 46 (07)
[24]   Experimental Study on Thermal Conductivity and Viscosity of Water-Based Nanofluids [J].
Tavman, Ismail ;
Turgut, Alpaslan ;
Chirtoc, Mihai ;
Hadjov, Kliment ;
Fudym, Olivier ;
Tavman, Sebnem .
HEAT TRANSFER RESEARCH, 2010, 41 (03) :339-351
[25]   PREDICTION OF THERMAL CONDUCTIVITY AND SHEAR VISCOSITY OF WATER-CU NANOFLUIDS USING EQUILIBRIUM MOLECULAR DYNAMICS [J].
Akiner, Tolga ;
Erturk, Hakan ;
Atalik, Kunt .
PROCEEDINGS OF THE ASME INTERNATIONAL MECHANICAL ENGINEERING CONGRESS AND EXPOSITION, 2013, VOL 8C, 2014,
[26]   PREDICTION OF VISCOSITY OF NANOFLUIDS USING ARTIFICAL NEURAL NETWORKS [J].
Zhao, Ningbo ;
Li, Shuying ;
Wang, Zhitao ;
Cao, Yunpeng .
PROCEEDINGS OF THE ASME INTERNATIONAL MECHANICAL ENGINEERING CONGRESS AND EXPOSITION, 2014, VOL 8B, 2015,
[27]   Empirical equation for the prediction of viscosity for some common nanofluids [J].
Ceotto, D. ;
Croce, G. .
COLLOID JOURNAL, 2015, 77 (02) :244-247
[28]   Viscosity of nanofluids: particle shape and fractal aggregates [J].
Gaganpreet ;
Srivastava, Sunita .
PHYSICS AND CHEMISTRY OF LIQUIDS, 2015, 53 (02) :174-186
[29]   Dispersion regimes in alumina/water-based nanofluids: Simultaneous measurements of thermal conductivity and dynamic viscosity [J].
Bouguerra, Nizar ;
Poncet, Sebastien ;
Elkoun, Said .
INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER, 2018, 92 :51-55
[30]   Prediction of Thermal Conductivity of Various Nanofluids with Ethylene Glycol using Artificial Neural Network [J].
Wang, Xuehui ;
Yan, Xiaona ;
Gao, Neng ;
Chen, Guangming .
JOURNAL OF THERMAL SCIENCE, 2020, 29 (06) :1504-1512