Abstract
Ice roughness modeling is crucial for accurately predicting iced airfoils, as it involves predicting the enhancement of convective heat transfer on rough surfaces. The challenge of accurately predicting roughness lies in the interaction between surface roughness and local heat convection, independently computed through icing code. During this study, numerical analysis was conducted to explore the circulatory relationship between surface roughness caused by freezing and local convective heat transfer, resulting in ice accretion on the surface. The roughness model considers the local roughness distribution and its effect on convective heat transfer with RANS-based icing code, and the paper delves into the aerodynamic implications of surface roughness on the boundary layer characteristics of airfoils under icing conditions. By improving the predictive accuracy of ice accretion models with the advanced roughness model, the paper seeks to inspire the design of more efficient de-icing and anti-icing systems, improving aviation safety and performance.
Original language | English |
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Title of host publication | Proceedings of AIAA Aaviation Forum and Ascend 2024 |
Publisher | Aerospace Research Central (ARC) |
Publication date | 2024 |
Article number | 4003 |
DOIs | |
Publication status | Published - 2024 |
Event | AIAA Aaviation Forum and Ascend 2024 - Las Vegas, United States Duration: 29 Jul 2024 → 2 Aug 2024 |
Conference
Conference | AIAA Aaviation Forum and Ascend 2024 |
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Country/Territory | United States |
City | Las Vegas |
Period | 29/07/2024 → 02/08/2024 |