本文へ移動

サイトナビゲーションへ移動

検索ボックスへ移動

サイドバーへ移動

ここは、本文エリアの先頭です。

Numerical analysis for optimal design of helicopter rotor blades

JAXA Supercomputer System Annual Report February 2023-January 2024

Report Number: R23EDA201C22

Subject Category: Aeronautical Technology

PDF available here

  • Responsible Representative: Kanako Yasue, Aviation Technology Directorate, team leader, Aircraft Life-cycle Innovation Hub, Airmobility Digital Design Team
  • Contact Information: Keita Kimura(kimura.keita@jaxa.jp)
  • Members: Fumihiro Kajiwara, Keita Kimura, Masahiko Sugiura, Hideaki Sugawara, Yasutada Tanabe

Abstract

JAXA, DLR, and ONERA are collaborating on research as to blade optimization under various flight conditions for the purpose of validating and accumulating knowledge on the helicopter blade analysis tools and optimization methods owned by the three institutions. This fiscal year, acoustic analysis has been conducted based on the pressure distribution obtained from CFD analysis under helicopter descent flight conditions, and optimization for blades with quieter noise level has been progressed. In acoustic analysis of helicopters, it is crucial to accurately resolve tip vortices generated by the blades, demanding high-resolution fluid analysis. This report will present some examples of results.

Reference URL

N/A

Reasons and benefits of using JAXA Supercomputer System

In CFD-based optimization, a large number of cases with several design variables need to be performed in the CFD analysis, and the use of a supercomputer is essential; DLR/ONERA is conducting a similar HPC-based optimization, and comparison and study using results obtained using a supercomputer is appropriate.

Achievements of the Year

In a collaborative effort among JAXA, DLR, and ONERA, a common optimization problem for helicopter descent flight has been established, and shape optimization using CFD has been pursued. The initial step involved conducting acoustic analysis on the baseline HART II blade and comparing the analysis results from each organization. Subsequently, optimization of the blade shape is going to be carried out.

Figure 1 illustrates the CFD results under a descent flight condition. It is known that significant noise occurs when the tip vortices generated by the rotor blades interfere with another blade (Blade Vortex Interaction).

Figure 2 shows an example of acquiring the noise carpet on the under of the rotor plane using the pressure distribution on the blade surfaces obtained by CFD, calculated by the FWH method. It can be observed that the noise generated by the rotor blades significantly varies depending on the azimuth angle.

Annual Reoprt Figures for 2023

Fig.1: visualization of tip-vortex

 

Annual Reoprt Figures for 2023

Fig.2: sample result of acoustic simulation

 

Publications

– Oral Presentations

J. Bailly, G. Wilke, K. Kimura , Y. Tanabe, “JAXA-ONERA-DLR COOPERATION: RESULTS FROM MULTI-POINT AERODYNAMIC OPTIMIZATION OF A ROTOR IN HOVER AND FORWARD FLIGHT,” 49th European Rotorcraft Forum, Buckeburg, Germany, 2023.

Usage of JSS

Computational Information

  • Process Parallelization Methods: N/A
  • Thread Parallelization Methods: OpenMP
  • Number of Processes: 1
  • Elapsed Time per Case: 100 Hour(s)

JSS3 Resources Used

 

Fraction of Usage in Total Resources*1(%): 0.08

 

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 544252.68 0.02
TOKI-ST 508656.60 0.55
TOKI-GP 0.00 0.00
TOKI-XM 0.00 0.00
TOKI-LM 0.00 0.00
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 1118.98 0.93
/data and /data2 115685.73 0.71
/ssd 31306.95 2.96

 

Archiver Resources
Archiver Name Storage Used
(TiB)
Fraction of Usage*2(%)
J-SPACE 0.00 0.00

*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 2023-January 2024