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Research on the performance improvement of practical aero-engine fuel injector

JAXA Supercomputer System Annual Report April 2018-March 2019

Report Number: R18EA0730

Subject Category: Aeronautical Technology

PDF available here

  • Responsible Representative: Takashi Yamane, Aeronautical Technology Directorate, En-Core Pre-project team
  • Contact Information: Kazuaki Matsuura, Japan Aerospace Exploration Agency, Aeronautical Technology Directorate, En-Core Pre-project team(matsuura.kazuaki@jaxa.jp)
  • Members: Kazuaki Matsuura, Mitsumasa Makida, Naoki Nakamura, Jun Iino, Huilai Zhang, Kinya Saito, Kunihiko Sakata, Asuka Akino

Abstract

Our study is focusing on the improvement of fuel injector performance. Numerical simulations on air-flow, atomization, fuel/air mixing, combustion, and thermal analysis on such injectors in realistic shapes are of our interest.

Reference URL

N/A

Reasons for using JSS2

In order to analyze air-flow, atomization, fuel/air mixing, combustion, and thermal analysis of a realistic shape fuel nozzle precisely, we conduct the flamelet combustion analysis using large size of database, and the use of super computer is necessary.

Achievements of the Year

Effects of pilot nozzle design on the performance of a lean-staged fuel injector near a lean-blow-out condition was simulated. Blow-out took place for “U8-type” nozzle, whereas it did not for “D8-type” nozzle.

Annual Reoprt Figures for 2018

Fig.1: Lean staged injector

 

Annual Reoprt Figures for 2018

Fig.2: Magnified view of pilot nozzle (Left: U8. Right: D8)

 

Annual Reoprt Figures for 2018

Fig.3: Time evolution of spatial distribution of gas temperature (Left: U8, Right: D8)

 

Publications

N/A

Usage of JSS2

Computational Information

  • Process Parallelization Methods: MPI
  • Thread Parallelization Methods: N/A
  • Number of Processes: 512
  • Elapsed Time per Case: 4 Hour(s)

Resources Used

 

Fraction of Usage in Total Resources*1(%): 1.02

 

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 9,286,721.23 1.14
SORA-PP 0.00 0.00
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 360.90 0.37
/data 42,857.05 0.76
/ltmp 9,263.40 0.79

 

Archiver Resources
Archiver Name Storage Used
(TiB)
Fraction of Usage*2(%)
J-SPACE 0.11 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.

JAXA Supercomputer System Annual Report April 2018-March 2019


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