Aerodynamic Analysis for High-speed Rotorcraft
JAXA Supercomputer System Annual Report February 2022-January 2023
Report Number: R22EDA201C20
Subject Category: Aeronautical Technology
- 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.
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.
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 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 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 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