TURBULENCE MODELS APPLICATION IN AIR FLOW OF CROSSFLOW TURBINE

Using the CFD method as the initial analysis for experiments has more benefits, including saving time and costs. The variable of flow parameters and geometry can be easily developed to get the desired results. However, research is needed to improve the accuracy of the results and the optimality of the calculation process; the study of complex turbulent flow modelling becomes very important. The k-epsilon model and renormalization group (RNG) k-epsilon model are widely used in research to produce the appropriate models and develop the constants value. This turbulent flow modelling research was conducted to improve the result accuracy and the calculation process optimality in the turbulent flow of crossflow turbine. Research was done by comparing the simulation results of k-epsilon model with different constants and RNG k-epsilon model. The k-epsilon model with kinetic Prandtl 0.8, 0.9, 1, 1.1, 1.2 and the RNG k-epsilon model show different results for predicting the average pressure and velocity distribution in the turbulent flow of crossflow turbine, and likewise for turbulent parameters. The RNG k-epsilon model has more accuracy than the k-epsilon model, although the k-epsilon model's simulation time is quite short. Therefore, complex fluid flow recommends RNG k-epsilon model.