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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

PDF available here

  • 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).

Annual Reoprt Figures for 2022

Fig.1: Computational Grids.

 

Annual Reoprt Figures for 2022

Fig.2: Typical flowfield over LA-8 ( Q-criterion ).

 

Annual Reoprt Figures for 2022

Fig.3: The Effect of propeller on the lift coefficients.

 

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.

Computational Resources
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 Resources
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 Resources
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 Resources
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