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Aerodynamic Analysis for High-speed Rotorcraft

JAXA Supercomputer System Annual Report February 2022-January 2023

Report Number: R22EDA201C20

Subject Category: Aeronautical Technology

PDF available here

  • Responsible Representative: Arizono Hitoshi, Aeronautical Technology Directorate, Aviation Environmental Sustainability Innovation Hub
  • Contact Information: Hideaki Sugawara(sugawara.hideaki@jaxa.jp)
  • Members: Hideaki Sugawara, Yasutada Tanabe, Keita Kimura, Fumihiro Kajiwara, Yuki Kishi

Abstract

High-speed rotorcrafts operate at higher speeds than conventional helicopters and thus require more aerodynamically advanced design. This study investigates lift offset technology and hub drag reduction technology to achieve high aerodynamic performance.

Reference URL

N/A

Reasons and benefits of using JAXA Supercomputer System

Computational resources and computational capability are required to perform many numerical simulations.

Achievements of the Year

Lift offset technology utilizing differential flaps is investigated based on wind tunnel tests through numerical simulations (Figs. 1). The numerical results show a good correlation with the wind tunnel test results. It is indicated that the lift offset improves the system aerodynamic performance through the test and simulation. Numerical simulations are also conducted to investigate the flowfield around the rotor hub (Fig. 2). An effective drag reduction device is developed, and numerical results show that a significant drag reduction can be achieved.

Annual Reoprt Figures for 2022

Fig.1: Tip vortices around the rotorcraft

 

Annual Reoprt Figures for 2022

Fig.2: Complex geometry and surface grid around hub

 

Publications

– Oral Presentations

Sugawara, H., Kobiki, N., Tanabe, Y., Sasaki, M., Higo, A., Nakamyra, M., “Wind Tunnel Test of Single-Rotor Lift-Offset Due to Differential Flaps,”, 48th European Rotorcraft Forum, 2022.

Usage of JSS

Computational Information

  • Process Parallelization Methods: N/A
  • Thread Parallelization Methods: OpenMP
  • Number of Processes: 1
  • Elapsed Time per Case: 336 Hour(s)

JSS3 Resources Used

 

Fraction of Usage in Total Resources*1(%): 0.69

 

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 9483285.87 0.41
TOKI-ST 2672436.88 2.67
TOKI-GP 0.00 0.00
TOKI-XM 0.00 0.00
TOKI-LM 0.00 0.00
TOKI-TST 76393.75 2.01
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 163.20 0.15
/data and /data2 120434.73 0.93
/ssd 666.46 0.09

 

Archiver Resources
Archiver Name Storage Used
(TiB)
Fraction of Usage*2(%)
J-SPACE 2.02 0.01

*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)
0.00 0.00

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

JAXA Supercomputer System Annual Report February 2022-January 2023