A Reevaluation of Appendix C Ice Roughness Using Laser Scanning 2015-01-2098
Many studies have been performed to quantify the formation and evolution of roughness on ice shapes created in Appendix C icing conditions, which exhibits supercooled liquid droplets ranging from 1-50 µm. For example Anderson and Shin (1997), Anderson et al. (1998), and Shin (1994) represent early studies of ice roughness during short-duration icing events measured in the Icing Research Tunnel at the NASA Glenn Research Center. In the historical literature, image analysis techniques were employed to characterize the roughness. Using multiple images of the roughness elements, these studies of roughness focused on extracting parametric representations of ice roughness elements. While the image analysis approach enabled many insights into icing physics, recent improvements in laser scanning approaches have revolutionized the process of ice accretion shape characterization. Additionally, McClain and Kreeger (2013) demonstrated a two-dimensional self-organizing map approach 1) to characterize the mean ice shape, 2) to unwrap a three-dimensional laser scan of an iced airfoil, and 3) to evaluate the ice roughness variations along the surface by employing a multi-variate statistical approach. For this study, the ice roughness developed on a 21-in. NACA 0012 at 0° angle of attack exposed to short duration Appendix C icing events similar to those used in the earlier studies were characterized using laser scanning. The resulting Appendix C roughness parameters are then compared to the historical measurements of Appendix C roughness.
Citation: McClain, S., Vargas, M., Kreeger, R., and Tsao, J., "A Reevaluation of Appendix C Ice Roughness Using Laser Scanning," SAE Technical Paper 2015-01-2098, 2015, https://doi.org/10.4271/2015-01-2098. Download Citation
Author(s):
Stephen T. McClain, Mario Vargas, Richard E. Kreeger, Jenching Tsao
Affiliated:
Baylor University, NASA Glenn Research Center, Ohio Aerospace Institute
Pages: 11
Event:
SAE 2015 International Conference on Icing of Aircraft, Engines, and Structures
ISSN:
0148-7191
e-ISSN:
2688-3627
Related Topics:
Icing and ice detection
Lasers
Statistical analysis
Technical review
Wings
Imaging and visualization
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