Improved roughness model in ice accretion prediction

2025-8-28
Dursun, Anıl
This study explores advanced numerical methods to enhance the accuracy of ice accretion prediction techniques under varying atmospheric conditions. Specifically, it investigates approaches related to surface roughness modeling, smooth and rough zone characterization, and their effects on convective heat transfer coefficient distribution. The computational methodology begins by calculating the flow field around the airfoil using the Hess-Smith panel method, then applies the Lagrangian approach to track droplet trajectories and computes droplet collection efficiency distribution on the surface. Ice accretion rates are subsequently estimated through a thermodynamic balance using the Extended Messinger Method, following the evaluation of convective heat transfer distribution via the Integral Boundary Layer Method. The adequacy of icing prediction is evaluated under high-speed operating conditions. The results are compared with those in the literature, though further improvements are still needed.
Citation Formats
A. Dursun, “Improved roughness model in ice accretion prediction,” M.S. - Master of Science, Middle East Technical University, 2025.