Initial Development of a Model to Predict Impact Ice Adhesion Stress (Invited)
Thompson, D., Meng, D., Ashfar, A., Bassou, R., Zhong, J., Bonaccurso, E., LaRoche, A., & Vercillo, V. (2018). Initial Development of a Model to Predict Impact Ice Adhesion Stress (Invited). 2018 Atmospheric and Space Environments Conference, AIAA AVIATION Forum, (AIAA 2018-3344). Atlanta, GA: AIAA. DOI:10.2514/6.2018-3344.
Recent increasing interest in low ice adhesion surfaces has necessitated the development of a predictive model to ascertain their efficacy in the context of icing mitigation for aeronautical applications. We have formed an international team that is working to facilitate the use of advanced, low adhesion surfaces to mitigate ice accretion on N+2/N+3 generation aircraft by developing a semi-empirical, predictive technique through a combined experimental and computational effort. Experimental impact ice adhesion data is obtained using the vibrating cantilever method and employed to develop an empirical description of ice adhesion. This empirical description is augmented by first-principle simulations to include the effects of surface chemistry and micro- and nanoscale roughness on ice adhesion strength. The capstone version of the new model will couple simulations to define microscale (nanoscale and mesoscale) properties that can be correlated with the macroscale ice adhesion stress to produce an approximate functional relationship. In this paper, we provide a description of our approach along with sample results and conclude with a roadmap of the path forward.