Numerical simulation and thermal performance optimization of turbulent flow in a channel with multi V-shaped baffles

作者：Li Jheng Long; Tang Hsiang Wen; Yang Yue Tzu^*

来源：International Communications in Heat and Mass Transfer, 2018, 92: 39-50.

DOI：10.1016/j.icheatmasstransfer.2018.02.004

• Numerical simulation
• Turbulent flow
• V-shaped baffles
• Optimization
• Genetic algorithm

Numerical simulations are used to investigate the fluid flow and heat transfer characteristics of turbulent flow in a channel with multi V-shaped baffles in this study. The elliptical, coupled, steady-state and three-dimensional governing partial differential equations for turbulent forced convection are solved numerically using the finite volume approach with SIMPLE algorithm. The validations show that the numerical results of the standard k - epsilon model are much closer to the experimental data of the reference than the other turbulent models (RNG k - epsilon, Realizable k - epsilon and SST k- omega) in the studied ranges. Therefore, subsequent numerical computations are performed with the standard k - epsilon model. In addition, after the validation of the numerical results, response surface methodology (RSM) is employed to set up the test groups. The objective function eta is defined as thermal performance factor with three design parameters and is obtained by regression analyses. Moreover, genetic algorithm (GA) is applied to obtain the maximum thermal performance factor and the optimal set of design parameters. The predicted optimal thermal performance factor eta of genetic algorithm closely agreed with those from the CFD computational results within 2% difference. The numerical optimization indicates that the enhancement of the thermal performance factor can achieve 12% in this channel with multi V-shaped baffles.

• 出版日期2018-3