首页 | 官方网站   微博 | 高级检索  
     


Thermal conductivity modeling of nanofluids with ZnO particles by using approaches based on artificial neural network and MARS
Authors:Maleki  Akbar  Elahi  Milad  Assad  Mamdouh El Haj  Alhuyi Nazari  Mohammad  Safdari Shadloo  Mostafa  Nabipour  Narjes
Affiliation:1.Faculty of Mechanical Engineering, Shahrood University of Technology, Shahrood, Iran
;2.Department of Mechanical Engineering, University of Bonab, Bonab, Iran
;3.Department of Sustainable and Renewable Energy Engineering, University of Sharjah, Sharjah, United Arab Emirates
;4.Department of Renewable Energies, Faculty of New Science and Technologies, University of Tehran, Tehran, Iran
;5.CORIA Lab./CNRS UMR-6614, University and INSA of Rouen, Normandie University, 76000, Rouen, France
;6.Institute of Research and Development, Duy Tan University, Da Nang, 550000, Vietnam
;
Abstract:Journal of Thermal Analysis and Calorimetry - Nanofluids are attractive alternatives for the current heat transfer fluids due to their remarkably higher thermal conductivity which leads to the...
Keywords:
本文献已被 SpringerLink 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-23

京公网安备 11010802026262号