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Numerical Prediction of aerodynamic characteristics over the eVTOL Configurations

JAXA Supercomputer System Annual Report February 2024-January 2025

Report Number: R24EDA201G25

Subject Category: Aeronautical Technology

PDF available here

  • Responsible Representative: Kanako Yasue
  • Contact Information: Kanako Yasue(yasue.kanako@jaxa.jp)
  • Members: Masatoshi Kanayama, Yuki Kishi, Atsushi Shinozuka, Masayuki Sasaki, 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 and modified LA-8 geometry (WT-01) toward the evaluation of aerodynamic characteristics of a distributed electric propulsion vertical takeoff and landing aircraft.

Reference URL

Please refer to 'Numerical simulation technology | Fundamental research | Aviation Technology Directorate'.

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

In this study, aerodynamic analysis of a tandem tilt-wing eVTOL (electric Vertical Take Off and Landing aircraft) was conducted using Unsteady Reynolds-Averaged Navier-Stokes (URANS) analysis, specifically targeting the transition flight phase. A 74% scale model of the NASA LA-8 aircraft, with tilt angles set at 22.5 degrees, 45.0 degrees, and 67.5 degrees, was analyzed (Fig, 1 and 2). It was found that the aerodynamic characteristics during continuous transition flight are qualitatively determined by the angle of attack of wings, regardless of the tilt angle (Fig, 3).

Annual Report Figures for 2024

Fig.1: Computational conditions for the transition flight phase

 

Annual Report Figures for 2024

Fig.2: Computational grids ((a) 0.0 deg, (b) 22.5 deg, (c) 45.0 deg, (d) 67.5 deg)..

 

Annual Report Figures for 2024

Fig.3: Obtained aerodynamic coefficients.

 

Publications

N/A

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(%): 0.17

 

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 4164282.54 0.19
TOKI-ST 4842.60 0.00
TOKI-GP 0.00 0.00
TOKI-XM 0.00 0.00
TOKI-LM 319.18 0.02
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 1428.28 0.96
/data and /data2 133498.58 0.64
/ssd 2510.00 0.13

 

Archiver Resources
Archiver Name Storage Used
(TiB)
Fraction of Usage*2(%)
J-SPACE 7.01 0.02

*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)
98.44 0.07

*2: Fraction of Usage:Percentage of usage relative to each resource used in one year.

JAXA Supercomputer System Annual Report February 2024-January 2025