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。

Research on laminar fins system

JAXA Supercomputer System Annual Report February 2024-January 2025

Report Number: R24EA0601

Subject Category: Aeronautical Technology

PDF available here

  • Responsible Representative: Dongyoun Kwak, Hub Maneger, Aviation Environmental Sustainability Innovation Hub/Aviation Technology Directorate
  • Contact Information: Naoko Tokugawa(tokugawa.naoko@jaxa.jp)
  • Members: Takahiro Ishida, Fumitake Kuroda, Keisuke Ohira, Naoko Tokugawa, Kaito Tamazaki, Keiji Ueshima, Hayahide Yoshida

Abstract

The laminar flow vertical tail fins is designed and evaluated to develop practical technology for natural laminar flow wings in future subsonic aircraft. By analysing the effects of surface roughness on the flow field, we aim to define criteria for surface roughness that preserve laminar flow characteristics.

Reference URL

Please refer to 'Innovative Green Aircraft Technology (iGreen) | Sky Green+ | Aviation Technology Directorate'.

Reasons and benefits of using JAXA Supercomputer System

The design of laminar airfoils to reduce aircraft fuel consumption requires rapid develpment processes and extensive high-precision fluid flow analyses to examine fine details of boundary layer flows. Surface roughness analysis demands even more detailed investigation than standard design requirements. To accomplish these tasks, the use of supercomputer is essential.

Achievements of the Year

To summarize the achievements of this research project, the developed laminar flow wing design technology was applied to the entire aircraft design. At the Aeronautical Technology Directorate of JAXA, a target pressure distribution that sustains the boundary layer in a laminar state was predefined, and an inverse design method was used to develop a wing shape that achieves this distribution. As a result, this approach successfully attained a laminar flow surface coverage of 46.2% while preserving control effectiveness comparable to that of a conventional (non-laminar) wing. Even when accounting for the effects of surface roughness, which is being investigated separately, fuel consumption is estimated to be reduced by approximately 0.8%.

Annual Report Figures for 2024

Fig.1: Pressure distribution on the laminar flow vertical tail under the assumed flight conditions of the entire aircraft (M = 0.78, altitude 35,000 ft).

 

Publications

- Peer-reviewed papers

N. Tokugawa, T. Ishida, K. Ueshima, K. Ohira,"Demonstration of Natural Laminar Vertical Tail at Flight Reynolds Number in ETW", submitted to Proc. of Tenth IUTAM Symposium on Laminar-Turbulent Transition (IUTAM LTT 2024)

Usage of JSS

Computational Information

  • Process Parallelization Methods: MPI
  • Thread Parallelization Methods: Automatic Parallelization
  • Number of Processes: 48 - 10008
  • Elapsed Time per Case: 55 Hour(s)

JSS3 Resources Used

 

Fraction of Usage in Total Resources*1(%): 4.62

 

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 120676785.17 5.52
TOKI-ST 106641.68 0.11
TOKI-GP 118399.89 1.82
TOKI-XM 52472.88 25.54
TOKI-LM 79402.19 5.73
TOKI-TST 223.79 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 1276.39 0.86
/data and /data2 235373.41 1.13
/ssd 14958.00 0.80

 

Archiver Resources
Archiver Name Storage Used
(TiB)
Fraction of Usage*2(%)
J-SPACE 28.13 0.09

*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)
3444.38 2.35

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

JAXA Supercomputer System Annual Report February 2024-January 2025