High-Fidelity Modeling of Particulate Transport and Deposition in Extreme Environments

J. Capecelatro
University of Michigan, United States

Keywords: dust ingestion, turbulence, cfd, modeling, propulsion

The ingestion of fine particulates in gas turbine engines represents one of the key outstanding challenges facing military operations in the 21st century. The ingestion of airborne particulates (e.g. sand, volcanic ash, and dust) compromises the durability, performance, and safety of engine turbine components. Next-generation aircraft engines are increasing peak temperatures to achieve higher efficiency, which is anticipated to amplify the detrimental effects caused by particle impact. As a result, particulate ingestion and deposition are increasingly being considered in the design, maintenance, and operation of gas turbine engines. The primary objective of this project is to develop the predictive modeling capabilities needed to understand and eventually mitigate erosion by particulate deposition. The high-speed multiphase flow solver being developed at UM is capable of simulating ~10^8 particles undergoing particle-particle (e.g., collisions, van der Waals, and electrostatics) and fluid-particle (turbulence, shocks) interactions in high-speed reacting flows. Specific outcomes include (i) particle residence time, size distribution, and morphology under relevant flow conditions prior to impingement; (ii) a unique framework for studying deposition under realistic conditions; and (iii) reduced-order modeling capabilities that will provide engineers and researchers insight on the necessary particle characteristics needed to support future naval aviation needs.