Natural convection of CuO–water nanofluid filled in a partially heated corrugated cavity:KKL model approach

作     者：Rizwan Ul Haq Muhammad Usman Ebrahem A Algehyne Rizwan UI Haq;Muhammad Usman;Ebrahem A Algehyne

作者机构：Department of Electrical EngineeringBahria UniversityIslamabadPakistan BIC-ESATCollege of EngineeringPeking UniversityBeijing 100871China State Key Laboratory for Turbulence and Complex SystemsDepartment of Mechanics and Engineering SciencePeking UniversityBeijing 100871China Department of MathematicsFaculty of SciencesUniversity of TabukP.O.Box 741Tabuk 71491Saudi Arabia 

出 版 物：《Communications in Theoretical Physics》 (理论物理通讯（英文版）)

年 卷 期：2020年第72卷第8期

页      面：27-42页

核心收录：

学科分类：080701[工学-工程热物理] 080704[工学-流体机械及工程] 080103[工学-流体力学] 08[工学] 0807[工学-动力工程及工程热物理] 0801[工学-力学（可授工学、理学学位）] 

基　　金：The authors gratefully acknowledge the support given by the University of Tabuk Ministry of Education in Saudi Arabia 

主　　题：heat transfer nanofluid finite element method KKL corrugated cavity 

摘      要：In this article, flow and heat transfer inside a corrugated cavity is analyzed for natural convection with a heated inner obstacle. Thermal performance is analyzed for Cu O–water inside a partially heated domain by defining the constraint along the boundaries. For nanofluid analysis, the Koo and Kleinstreuer Li(KKL) model is implemented to deal with the effective thermal conductivity and viscosity. A heated thin rod is placed inside the corrugated cavity and the bottom portion of the corrugated cavity is partially heated. The dimensionless form of nonlinear partial differential equations are obtained through the compatible transformation along with the boundary constraint. The finite element method is executed to acquire the numerical solution of the obtained dimensional system. Streamlines, isotherms and heat transfers are analyzed for the flow field and temperature distribution. The Nusselt number is calculated at the surface of the partially heated domain for various numerical values of emerging parameters by considering the inner obstacle at cold, adiabatic and heated conditions. The computational simulation was performed by introducing various numerical values of emerging parameters. Important and significant results have been attained for temperature and velocities(in both x-and y-directions) at the vertically and horizontally mean positions of the corrugated duct.