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Application of the HPCMP CREATETM-AV Kestrel to an Integrated Propeller Prediction
- Source :
- Aerospace, Vol 7, Iss 177, p 177 (2020), Aerospace, Volume 7, Issue 12
- Publication Year :
- 2020
- Publisher :
- MDPI AG, 2020.
-
Abstract
- This article presents the results of a computational investigation of an integrated propeller test case using the HPCMP CREATETM-AV Kestrel simulation tools. There is a renewed interest in propeller-driven aircraft for unmanned aerial vehicles, electric aircraft, and flying taxies. Computational resources can significantly accelerate the generation of aerodynamic models for these vehicles and reduce the development cost if the prediction tools can accurately predict the aircraft/propeller aerodynamic interactions. Unfortunately, limited propeller experimental data are available to validate computational methods. An American Institute of Aeronautics and Astronautics (AIAA) workshop was therefore established to address this problem. The objective of this workshop was to generate an open access-powered wind tunnel test database for computational validation of propeller effects on the wing aerodynamics, specifically for wing-tip-mounted propellers. The propeller selected for the workshop has four blades and a diameter of 16.2 in. The wing has a root and tip chord of 11.6 and 8.6 in, respectively. Two different simulation approaches were used: one using a single grid including wind tunnel walls and the second using a subset grid overset to an adaptive Cartesian grid that fills the space between the near-body grid and wind tunnel walls. The predictions of both approaches have been compared with available experimental data from the Lockheed Martin low-speed wind tunnel to investigate the grid resolution required for accurate prediction of flowfield data. The results show a good agreement for all tested conditions. The measured and predicted data show that wing aerodynamic performance is improved by the spinning tip-mounted propeller.
- Subjects :
- Astronautics
Computer science
lcsh:Motor vehicles. Aeronautics. Astronautics
Aerospace Engineering
02 engineering and technology
wing-propeller interaction
computational fluid dynamics
Computational fluid dynamics
01 natural sciences
010305 fluids & plasmas
0203 mechanical engineering
0103 physical sciences
adaptive mesh refinement
Aerospace engineering
Wind tunnel
Chord (aeronautics)
020301 aerospace & aeronautics
business.industry
Adaptive mesh refinement
Propeller
Aerodynamics
Grid
integrated propeller
overset grid
lcsh:TL1-4050
business
Subjects
Details
- Language :
- English
- ISSN :
- 22264310
- Volume :
- 7
- Issue :
- 177
- Database :
- OpenAIRE
- Journal :
- Aerospace
- Accession number :
- edsair.doi.dedup.....dda6520374107e9cb221944b0ffcd75d