Abstract
This paper presents a numerical approach to simulate particulate interactions with high-speed transitional boundary-layer flows. A particle solver is used to simulate the trajectory of particulates, and the solver is coupled via a particulate-flow interaction source term to a nonlinear disturbance flow solver based on the compressible Navier-Stokes equations. To efficiently simulate the particulate flow interactions, an adaptive mesh refinement approach is utilized. 2-D and 3-D particulate flow simulation results are presented. The flow conditions for the 2-D simulations were chosen such that 2-D second-mode instability waves are most amplified, and the frequency range of the disturbances introduced by the particulate collision falls within the unstable frequency range. Although the 2-D simulations were mainly used to test out our new simulation approach, some basic physics were also explored, such as the effect of the particulate size and the impingement location, on the generated disturbance flow field. For the 3-D simulations, two different flow conditions were considered: (1) a M=5.35 flat plate boundary-layer flow where 2-D second-mode instability waves are most amplified, and comparison data from established pulse simulations are available and (2) a M=4 14 degree wedge where 3-D first-mode instability waves are most amplified, and comparison data from other particulate-flow interaction simulations are available. The main purpose of this work is to introduce and validate our adaptive mesh refinement based particulate-flow interaction simulation approach.
Original language | English |
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Title of host publication | AIAA Aviation 2019 Forum |
Pages | 1-21 |
Number of pages | 21 |
DOIs | |
State | Published - 2019 |
Event | AIAA Aviation 2019 Forum - Dallas, United States Duration: Jun 17 2019 → Jun 21 2019 |
Publication series
Name | AIAA Aviation 2019 Forum |
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Conference
Conference | AIAA Aviation 2019 Forum |
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Country/Territory | United States |
City | Dallas |
Period | 6/17/19 → 6/21/19 |
Bibliographical note
Funding Information:This research is part of the Blue Waters sustained-petascale computing project, which is supported by the National Science Foundation (awards OCI-0725070 and ACI-1238993) and the state of Illinois. Blue Waters is a joint effort of the University of Illinois at Urbana-Champaign and its National Center for Supercomputing Applications. Some funding support was provided by the Office of Naval Research under contract N00014-19-1-2223 with Dr. Eric Marineau as program manager is gratefully acknowledged. Finally, the authors want to thank Dr. Anatoli Tumin at University of Arizona for many fruitful discussions on this topic.
Publisher Copyright:
© 2019 by the American Institute of Aeronautics and Astronautics, Inc.
ASJC Scopus subject areas
- Computer Science Applications
- Electrical and Electronic Engineering
- Aerospace Engineering