Comparative Study on Effective Turbulence Model for NACA0012 Airfoil using Spalart – Allmaras as a Benchmark

The present work is dedicated to conduct a comparative study on identifying the effective turbulence model in terms of flow outlet velocity, error percentage, number of iterations and time coefficient using NACA0012 airfoil by considering Spalart – Allmaras as a reference model. The current study considers 12 different turbulence models including Spalart – Allmaras for obtaining the output characteristics individually. The turbulence models in existence such as Standard K epsilon, RNG K epsilon, Realizable variant of K epsilon, Standard K Omega, SST K Omega, BSL K Omega, Transition K KL Omega, Transition SST, Reynolds Stress Linear Pressure Strain , Reynolds Stress Quadratic Pressure Strain , Reynolds stress Stress Omega have been utilized for the evaluation and comparison. The NACA0012 airfoil is modelled using CATIA and the meshed model of the airfoil is analyzed using ANSYS FLUENT under standard boundary conditions. The results obtained have shown that the Standard K – epsilon model is found to have less error percentage in comparison to other turbulence models. The count over the number of iterations taken reveals that the models such as Standard K omega, SST K omega and BSL K omega has shown the least number of iterations compared to rest of the turbulence models for completing the analysis. The time coefficient calculation shows that Standard K omega and SST K omega ranks top by showing less time for conducting the analysis with 77.92 seconds and the maximum time was shown by the Reynolds’s stress models considered in the study. R. Allocious Britto Rajkumar | N. Mohammed Raffic | Dr. K. Ganesh Babu | V. Vignesh "Comparative Study of Cyberbullying Detection using Different Machine Learning Algorithms" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-3 , April 2020, URL: https://www.ijtsrd.com/papers/ijtsrd30824.pdf