Icing Simulation Framework: A predictive approach from nucleation to runback

Abstract
This presentation provides an overview of the state-of-art multiscale “Icing Simulation Framework” capability developed at RTX Technologies Research Center. An overview of the framework and potential applications to different icing regimes pertinent to aerospace and commercial applications will be presented. More specifically, the application of this framework to simulate droplet runback and runback icing will be presented. In summary, this high-fidelity framework tracks the physical mechanisms associated with droplet dynamics, ice nucleation, growth and interaction with the environment (e.g. adhesion, crystal growth, evaporation, sublimation, etc.) across all relevant scales (including nucleation at <10-7m to ~10-6m of coating/environment interaction to 10-2m of the component) which allows a rigorous investigation of how different environmental (e.g. LWC, MVD, pressure, velocity and temperature) and substrate (e.g. coating molecular and macroscopic specifications) characteristics affect the icing behavior.

Speaker Bio
Miad Yazdani, Ph.D., is a Senior Fellow at the RTX Technology Research Center (RTRC), specializing in computational physics with a particular emphasis on interfacial physics. During the course of his tenure at the center, he’s led multiple initiatives, including a Corporate‑sponsored multidisciplinary initiative on developing physics‑based modes and methods for interfacial physics pertinent to operation in harsh environments. Miad is the recipient of UTRC’s Technical Excellence Award (2018), multiple Outstanding Achievement Awards and twice nominated for MIT’s 35 under 35 award. He was inducted as a Technical Fellow in 2019. He holds a bachelor’s degree from the Sharif University of Technology and a Master’s and PhD degree in mechanical engineering from the Illinois Institute of Technology.