Optimization of rotor blade
JAXA Supercomputer System Annual Report April 2018-March 2019
Report Number: R18ECMP11
Subject Category: Competitive Funding
- Responsible Representative: Yasutada Tanabe, Senior Researcher, Aviation Systems Research Unit, Aeronautical Technology Directorate
- Contact Information: Yasutada Tanabe, Leader, High Speed Rotorcraft Research Section, Aviation Systems Research Unit, Aeronautical Technology Directorate, Japan Aerospace Exploration Agency (JAXA)(tan@chofu.jaxa.jp)
- Members: Yasutada Tanabe, Masahiko Sugiura, Hideaki Sugawara, Kuniyuki Takekawa
Abstract
Search the optimized rotor blade for High-speed rotorcraft.
Reference URL
Please refer to ‘Future type rotary-airfoil airplane system technology | Sky Frontier – Sky Frontier Program | Aeronautical Technology Directorate‘.
Reasons for using JSS2
We execute CFD for rotor blade optimization. Because of many case, we used JSS2.
Achievements of the Year
Before the search the optimized shape, we compared analysis based on Blade-Element-Theory (BET) and CFD to establish a correlation between them. As a result, CFD tends to show a higher L/DE (Lift by Effective Drag) and a lower figure of merit except few cases.(Fig.1) General correlation between this simple method and the sophisticated CFD method is confirmed.
Next, initial samples generated by Hypercube distributions are evaluated. CFD result examples are shown in Fig.2 and 3.
Publications
N/A
Usage of JSS2
Computational Information
- Process Parallelization Methods: N/A
- Thread Parallelization Methods: OpenMP
- Number of Processes: 1
- Elapsed Time per Case: 430 Hour(s)
Resources Used
Fraction of Usage in Total Resources*1(%): 0.46
Details
Please refer to System Configuration of JSS2 for the system configuration and major specifications of JSS2.
System Name | Amount of Core Time(core x hours) | Fraction of Usage*2(%) |
---|---|---|
SORA-MA | 1,324,397.81 | 0.16 |
SORA-PP | 522,434.01 | 4.17 |
SORA-LM | 0.00 | 0.00 |
SORA-TPP | 0.00 | 0.00 |
File System Name | Storage Assigned(GiB) | Fraction of Usage*2(%) |
---|---|---|
/home | 4,572.44 | 4.73 |
/data | 7,398.20 | 0.13 |
/ltmp | 937.11 | 0.08 |
Archiver Name | Storage Used(TiB) | Fraction of Usage*2(%) |
---|---|---|
J-SPACE | 7.94 | 0.28 |
*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.
JAXA Supercomputer System Annual Report April 2018-March 2019