Numerical Prediction of aerodynamic characteristics over the eVTOL Configurations
JAXA Supercomputer System Annual Report February 2022-January 2023
Report Number: R22EDA201G25
Subject Category: Aeronautical Technology
- Responsible Representative: Atsushi Hashimoto
- Contact Information: Kanako Yasue(yasue.kanako@jaxa.jp)
- Members: Jun Hashimoto, Masatoshi Kanayama, Atsushi Shinozuka, Shota Taniguchi, Kanako Yasue
Abstract
Various types of eVTOL (electric vertical take-off and landing aircraft) have been proposed to develop new mobility markets such as air taxis, and global competition is intensifying. However, the development history of eVTOL is relatively short, and there is little data for designing products that meet the various needs. Therefore, numerical simulations are expected to be used as a means of compensating data.
In this study, Unsteady Reynolds-averaged Navier-Stokes analysis was performed on the LA-8 geometry toward the evaluation of aerodynamic characteristics of a distributed electric propulsion vertical takeoff and landing aircraft.
Reference URL
Please refer to https://www.aero.jaxa.jp/eng/research/basic/numerical/ .
Reasons and benefits of using JAXA Supercomputer System
JSS is necessary to complete large scale numerical simulations of unsteady phenomena and to understand it in short time span.
Achievements of the Year
Unsteady Reynolds-averaged Navier-Stokes analysis was performed on the LA-8 geometry toward the evaluation of aerodynamic characteristics of a distributed electric propulsion vertical takeoff and landing aircraft (Figure 1 and 2) . The results show that the lift coefficients of LA-8 with propellers are larger than that of LA-8 without propellers. This is because the dynamic pressure coming into the wing was increased by the propeller slipstream (wake flow).
Publications
– Oral Presentations
[1]S. Taniguchi, A. Shinozuka, K Yasue, M Kanayama , A. Oyama and A.i Hashimoto, “Numerical analysis toward the evaluation of aerodynamic characteristics of a distributed electric propulsion vertical takeoff and landing aircraft,” 60th Aircraft Symposium, 2022.
[2]S. Taniguchi, K, Yasue, R. Fukuchi, A. Shinozuka, A. Oyama, “Aerodynamic Interference between Propeller/Wing for High Performance Electric Aircraft Using FaTAR-Move,” Japan-Korea Joint Workshop on Rotorcraft, 2022.
Usage of JSS
Computational Information
- Process Parallelization Methods: MPI
- Thread Parallelization Methods: N/A
- Number of Processes: 480 – 2016
- Elapsed Time per Case: 200 Hour(s)
JSS3 Resources Used
Fraction of Usage in Total Resources*1(%): 0.36
Details
Please refer to System Configuration of JSS3 for the system configuration and major specifications of JSS3.
System Name | CPU Resources Used(Core x Hours) | Fraction of Usage*2(%) |
---|---|---|
TOKI-SORA | 9550254.01 | 0.42 |
TOKI-ST | 17611.76 | 0.02 |
TOKI-GP | 0.00 | 0.00 |
TOKI-XM | 0.00 | 0.00 |
TOKI-LM | 20581.53 | 1.38 |
TOKI-TST | 0.00 | 0.00 |
TOKI-TGP | 0.00 | 0.00 |
TOKI-TLM | 0.00 | 0.00 |
File System Name | Storage Assigned(GiB) | Fraction of Usage*2(%) |
---|---|---|
/home | 1278.09 | 1.16 |
/data and /data2 | 118524.76 | 0.91 |
/ssd | 1345.48 | 0.19 |
Archiver Name | Storage Used(TiB) | Fraction of Usage*2(%) |
---|---|---|
J-SPACE | 6.64 | 0.03 |
*1: Fraction of Usage in Total Resources: Weighted average of three resource types (Computing, File System, and Archiver).
*2: Fraction of Usage:Percentage of usage relative to each resource used in one year.
ISV Software Licenses Used
ISV Software Licenses Used(Hours) | Fraction of Usage*2(%) | |
---|---|---|
ISV Software Licenses(Total) | 310.75 | 0.22 |
*2: Fraction of Usage:Percentage of usage relative to each resource used in one year.
JAXA Supercomputer System Annual Report February 2022-January 2023