Galih Bangga, Tri Kusumadewi, Go Hutomo, Ahmad Sabila, Taurista Syawitri, Herlambang Setiadi, Muhamad Faisal, Raditya Wiranegara, Yongki Hendranata, Dwi Lastomo, Louis Putra, Stefanus Kristiadi
Numerical simulations for relatively thick airfoils are carried out in the present studies. An attempt to improve the accuracy of the numerical predictions is done by adjusting the turbulent viscosity of the eddy-viscosity Menter Shear-Stress-Transport (SST) model. The modification involves the addition of a damping factor on the wall-bounded flows incorporating the ratio of the turbulent kinetic energy to its specific dissipation rate for separation detection. The results are compared with available experimental data and CFD simulations using the original Menter SST model. The present model improves the lift polar prediction even though the stall angle is still overestimated. The improvement is caused by the better prediction of separated flow under a strong adverse pressure gradient. The results show that the Reynolds stresses are damped near the wall causing variation of the logarithmic velocity profiles. © 2018 Published under licence by IOP Publishing Ltd.
Institute of Aerodynamics and Gas Dynamics, University of Stuttgart, Stuttgart, Germany; Mechanical Engineering Department, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia; School of Manufacturing System and Mechanical Engineering, Sirindhorn International Institute of Technology, Thammasat University, Thailand; Toyota so Department, Astra International, Ltd., Indonesia; Civil Engineering Department, Universitas Brawijaya, Malang, Indonesia; Mechanical Engineering Department, Universitas Muhammadiyah Surakarta, Surakarta, Indonesia; School of Information Technology and Electrical Engineering, University of Queensland, Brisbane, Australia; Non-Installation Top Range Department, Berca Schindler Lifts, Ltd., Indonesia; Graduate Institute of Automation and Control, National Taiwan University of Science and Technology, Taiwan; School of Aerospace, Transport and Manufacturing, Cranfield University, United Kingdom; Mechanical Engineering Department, Texas AandM University, College Station, United States; PUI-PT Mechatronics and Industrial Automation Research Center, Intitut Teknologi Sepuluh Nopember, Surabaya, Indonesia; Mechanical Engineering Department, Politecnico di Milano, Milan, Italy; Aeronautics Department, Imperial College of Science, Technology and Medicine, London, United Kingdom
