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。

Air flow distribution control by a fluidic element

JAXA Supercomputer System Annual Report April 2017-March 2018

Report Number: R17ETET18

Subject Category: Skills Acquisition System

PDF available here

  • Responsible Representative: Takashi Yamane, Aeronautical Technology Directorate, Propulsion Research Unit
  • Contact Information: Seiji Yoshida yoshida.seiji@jaxa.jp
  • Members: YOSHIDA Seiji(JAXA), Mitsumasa Makida(JAXA), Naoki Nakamura(ASIRI), Takeishi Ikumi(Waseda univ.)

Abstract

Lean combustion is promising to reduce nitrogen oxide emission from jet-engines. To solve combustion instability, that is a problem of lean combustion, a pilot burner for ensuring stable combustion and a main burner for performing lean, low-NOx combustion are used. The purpose of this study is improvement of combustor performance by controlling air flow rate distribution between the pilot burner and the main burner using a fluidic element, which has no moving part.

Reference URL

Please refer to 'Advanced combustion technologies for small, high-output core engines | Propulsion technology | Aeronautical Technology Directorate'.

Reasons for using JSS2

It is necessary that numerous CFD analysis about geometry of fluidic elements to optimize its geometry.

Achievements of the Year

In order to improve the characteristics of the fluidic elements, numerical analysis were conducted for more than 25 computational grids of the fluidic element with different flow channel shape. As a result, by changing both the shape and position of the splitter that separates the two outlet flow channels, it was confirmed that the main flow jet was bent at the tip of the splitter, and the performance target of the fluidic elements could be achieved.

Annual Reoprt Figures for 2017

Fig.1: Visualization of streamlines inside the fluidic elements before changing the splitter shape

 

Annual Reoprt Figures for 2017

Fig.2: Visualization of streamlines inside the fluidic elements after changing the splitter shape

 

Publications

N/A

Usage of JSS2

Computational Information

  • Process Parallelization Methods: MPI
  • Thread Parallelization Methods: Automatic Parallelizatio
  • Number of Processes: 36
  • Elapsed Time per Case: 50.00 hours

Resources Used

 

Fraction of Usage in Total Resources*1(%): 0.14

 

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 1,115,250.61 0.15
SORA-PP 915.97 0.01
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 104.37 0.07
/data 3,158.78 0.06
/ltmp 3,472.22 0.26

 

Archiver Resources
Archiver Name Storage Used
(TiB)
Fraction of Usage*2(%)
J-SPACE 0.14 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.

JAXA Supercomputer System Annual Report April 2017-March 2018


ここは、サイドバー・エリアの先頭です。

News - Recent Posts

Language / 言語

"Annual Report" available

How to use JSS3

To use JSS3, please refer to "How to use JSS3" page .

Location

Chofu Aerospace Center
7-44-1 Jindaiji Higashi-machi, Chofu-shi, Tokyo