报告题目:Numerical simulation of heat transfer and entropy generation due to the nanofluid natural convection with viscous dissipation in an inclined square cavity

报告人：李树光 副教授（大连海事大学）

报告时间：2024年06月19日 19:00－20:00

报告地点：腾讯会议 971-772-210

摘要：In this work, the effects of viscous dissipation on heat transfer and entropy generation of the nanofluid natural convection in an inclined square cavity are numerically investigated. A fractional-step semiimplicit finite difference algorithm based on the projection method on a staggered grid is proposed to solve the laminar natural convection problem, which has the advantage of larger time steps. The square cavity is filled with a nanofluid composed of (Cu) copper nanoparticles and water,and the viscous dissipative behavior of the mixture flow is not negligible. The studied parameters are Rayleigh number Ra (104 and 105), Eckert number Ec (0 − 2), the volume fraction of solid particles ϕ (0 − 0.06), and inclination angle of square cavity α (0 − π/2). The Prandtl number is fixed to Pr = 6.2. The results show that at any inclination angle, the increase in viscous dissipation leads to weakened heat transfer on the hot wall, enhanced heat transfer on the cold wall, and weakened flow in the square cavity. For the base solution without nanoparticles, the Eckert number has the greatest impact, with its effects on the average Nusselt number on the hot wall, maximum streamfunction, and average Nusselt number on the cold wall being ~13, 0.15, 18.69%, and at Ra = 104, and 12, 0.5, 28.87% at Ra = 105, respectively. Research on entropy generation shows that as Eckert number increases, the entropy generation due to heat transfer increases, while due to fluid friction decreases. As the Rayleigh number increases, the effect of viscous dissipation increases. As the inclination angle increases, the effects of volume fraction and Eckert number weaken. Adding solid particles can effectively weaken the effect of viscous dissipation.

报告人介绍：李树光，男，博士，大连海事大学副教授，硕士生导师，中国数学会计算机数学专委会委员，主要从事计算数学、非牛顿渗流力学、多尺度建模等研究。毕业于俄罗斯莫斯科鲍曼国立技术大学，入选“赴俄罗斯专业人才培养计划”和大连市海外高层次归国人才等。主持了博士后面上项目1项，辽宁省自然科学基金1项，辽宁省教育厅基本科研基金1项，参与国家自然科学基金1项、航天科技支撑基金1项，发表SCI论文20余篇。

邀请人: 张 磊