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Investigation of internal flow of aircraft combustor for En-Core Project

JAXA Supercomputer System Annual Report April 2020-March 2021

Report Number: R20EA0714

Subject Category: Aeronautical Technology

PDF available here

  • Responsible Representative: Takeshi Yamane(JAXA, Environmentally Compatible Core Engine Technology Research Project Team)
  • Contact Information: Mitsumasa Makida(Aeronautical Technology Directorate)(makida.mitsumasa@jaxa.jp)
  • Members: Mitsumasa Makida, Naoki Nakamura, Takashi Ishiyama

Abstract

In the development process of aircraft combustors, air mass flow distribution between fuel nozzles and cooling air holes on the liner effects performances of combustors. In this research, we conduct combustion simulations of internal flow inside the combustor which faithfully simulates the configuration of practical combustor. Then their results are applied as initial conditions for the acoustic calculation which are conducted to predict combustion oscillation.

Reference URL

N/A

Reasons and benefits of using JAXA Supercomputer System

It is important to do parametric case study with slightly different geometry, and each case needs large scale simulation. To conduct such simulation effectively, we need the super computer with high parallelization efficiency.

Achievements of the Year

In this fiscal year, we made numerical grids which faithfully simulates the configuration of practical combustor, then conducted internal simulations by a commercial code. These results were applied as initial conditions for the acoustic calculation by a commercial code. Then we investigated the oscillation mode.

Annual Reoprt Figures for 2020

Fig.1: Numerical grid for combustion calculation

 

Annual Reoprt Figures for 2020

Fig.2: Contour of temperature

 

Annual Reoprt Figures for 2020

Fig.3: Numerical grid for accousticc calculation

 

Annual Reoprt Figures for 2020

Fig.4: Contour of acoustic preseure

 

Publications

N/A

Usage of JSS

Computational Information

  • Process Parallelization Methods: MPI
  • Thread Parallelization Methods: Automatic Parallelization
  • Number of Processes: 16
  • Elapsed Time per Case: 50 Hour(s)

Resources Used(JSS2)

 

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

 

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 280,661.72 0.05
SORA-PP 42,553.17 0.33
SORA-LM 3.73 0.00
SORA-TPP 0.00 0.00

 

File System Resources
File System Name Storage Assigned
(GiB)
Fraction of Usage*2(%)
/home 73.15 0.07
/data 7,106.24 0.14
/ltmp 1,351.76 0.12

 

Archiver Resources
Archiver Name Storage Used
(TiB)
Fraction of Usage*2(%)
J-SPACE 1.59 0.05

*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.

 

Resources Used(JSS3)

 

Fraction of Usage in Total Resources*1(%): 0.07

 

Details

Please refer to System Configuration of JSS3 for the system configuration and major specifications of JSS3.

Computational Resources
System Name Amount of Core Time
(core x hours)
Fraction of Usage*2(%)
TOKI-SORA 151,231.36 0.03
TOKI-RURI 53,015.07 0.30
TOKI-TRURI 0.00 0.00

 

File System Resources
File System Name Storage Assigned
(GiB)
Fraction of Usage*2(%)
/home 80.02 0.05
/data 7,416.65 0.12
/ssd 42.23 0.02

 

Archiver Resources
Archiver Name Storage Used
(TiB)
Fraction of Usage*2(%)
J-SPACE 1.59 0.05

*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 2020-March 2021


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