Abstract
High-speed droplet impingement is a challenging problem involving a wide variety of physical mechanisms, including aero-breakup and phase change. Diffuse interface multiphase methods provide a simple, computationally efficient, and numerically robust approach to model these phenomena. In this work, a high-order numerical solution procedure for the Allaire five-equation model within the in-house solver CHAMPS is validated against currently available numerical and experimental data in one, two, and three dimensions. Simulations were performed with liquid and gas phases and geometries were efficiently modeled using the immersed boundary method. Adaptive mesh refinement was employed to efficiently track important flow features such as shocks and wakes. Recent shock interaction results at Mach 2.4 and Mach 10 were reproduced with a first-order HLLC approach and a higher-order positivity-preserving WCNS scheme introduced by Wong et al. (2021). The same method was applied to a water column impingement at 110 m/s, and good agreement with recent numerical results and shadowgraph images was found. Finally, a computationally challenging set of 2D and 3D test cases considering high-speed flows are presented including shock-droplet interaction and impingement on an oblique wedge geometry.
Original language | English |
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Title of host publication | AIAA AVIATION 2022 Forum |
DOIs | |
State | Published - 2022 |
Event | AIAA AVIATION 2022 Forum - Chicago, United States Duration: Jun 27 2022 → Jul 1 2022 |
Publication series
Name | AIAA AVIATION 2022 Forum |
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Conference
Conference | AIAA AVIATION 2022 Forum |
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Country/Territory | United States |
City | Chicago |
Period | 6/27/22 → 7/1/22 |
Bibliographical note
Publisher Copyright:© 2022, American Institute of Aeronautics and Astronautics Inc, AIAA., All rights reserved.
Funding
support by the Office of Naval Research under contract N00014-22-1-2443 with Dr. Eric Marineau as program manager is gratefully acknowledged. The authors would also like to thank the University of Maryland for their Juggernaut and Deepthought2 computing resources and the University of Kentucky Center for Computational Sciences and Information Technology Services Research Computing for their support and use of the Lipscomb Compute Cluster (LCC) and associated research computing resources. Funding support by the Office of Naval Research under contract N00014-22-1-2443 with Dr. Eric Marineau as program manager is gratefully acknowledged. The authors would also like to thank the University of Maryland for their Juggernaut and Deepthought2 computing resources and the University of Kentucky Center for Computational Sciences and Information Technology Services Research Computing for their support and use of the Lipscomb Compute Cluster (LCC) and associated research computing resources.
Funders | Funder number |
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University of Kentucky Medical Center | |
Office of Naval Research | N00014-22-1-2443 |
University of Maryland, The Maryland NanoCenter |
ASJC Scopus subject areas
- Energy Engineering and Power Technology
- Nuclear Energy and Engineering
- Aerospace Engineering