首页 | 本学科首页   官方微博 | 高级检索  
     


Thermal conductivity of ethylene glycol and water mixture based Fe3O4 nanofluid
Affiliation:1. TEMA, Department of Mechanical Engineering, University of Aveiro, 3810-193 Aveiro, Portugal;2. Aveiro Institute of Nanotechnology, University of Aveiro, 3810-193 Aveiro, Portugal;1. Department of Mechanical Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran;2. Dipartimento di Ingegneria Astronautica, Elettrica ed Energetica, Sapienza Università di Roma, Via Eudossiana 18, Roma 00184, Italy;1. School of Electric Power Engineering, China University of Mining and Technology, Xuzhou 221116, Jiangsu, China;2. School of Chemical Engineering & Technology, China University of Mining and Technology, Xuzhou 221116, Jiangsu, China;1. Esfarayen University of Technology (EUT), Esfarayen, North Khorasan, Iran;2. International Research Center for Renewable Energy, State Key Laboratory of Multiphase Flow in Power Engineering, Xi''an Jiaotong University, Xi''an 710049, China
Abstract:Thermal conductivity of ethylene glycol and water mixture based Fe3O4 nanofluid has been investigated experimentally. Magnetic Fe3O4 nanoparticles were synthesized by chemical co-precipitation method and the nanofluids were prepared by dispersing nanoparticles into different base fluids like 20:80%, 40:60% and 60:40% by weight of the ethylene glycol and water mixture. Experiments were conducted in the temperature range from 20 °C to 60 °C and in the volume concentration range from 0.2% to 2.0%. Results indicate that the thermal conductivity increases with the increase of particle concentration and temperature. The thermal conductivity is enhanced by 46% at 2.0 vol.% of nanoparticles dispersed in 20:80% ethylene glycol and water mixture compared to other base fluids. The theoretical Hamilton–Crosser model failed to predict the thermal conductivity of the nanofluid with the effect of temperature. A new correlation is developed for the estimation of thermal conductivity of nanofluids based on the experimental data.
Keywords:
本文献已被 ScienceDirect 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号