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Optimization of rotor blade

JAXA Supercomputer System Annual Report April 2018-March 2019

Report Number: R18ECMP11

Subject Category: Competitive Funding

PDF available here

  • 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.

Annual Reoprt Figures for 2018

Fig.1: Correlation between analyses based on simple Blade-Element-Theory and CFD for the evaluation of optimized rotors

 

Annual Reoprt Figures for 2018

Fig.2: Rotor wake in hovering flight

 

Annual Reoprt Figures for 2018

Fig.3: Rotor wake in high advance ratio (0.7) forward flight

 

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.

Computational Resources
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 Resources
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 Resources
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