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

JAXA Supercomputer System Annual Report February 2024-January 2025

Report Number: R24EBA30200

Subject Category: Aeronautical Technology

PDF available here

  • Responsible Representative: Takashi Yamane, Aeronautical Technology Directorate, En-Core Project team
  • Contact Information: Kazuaki Matsuura, Japan Aerospace Exploration Agency, Aeronautical Technology Directorate, En-Core Project team(matsuura.kazuaki@jaxa.jp)
  • Members: Kazuaki Matsuura, Jun Iino, Kinya Saito, Kunihiko Sakata, Aya Yoshida, Kodai Kato, Mitsumasa Makida, Naoki Nakamura

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 and benefits of using JAXA Supercomputer System

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

In order to avoid fuel coking in fuel circuits of a coaxially-staged lean-burn fuel injector, improvement of thermal-protection design and its numerical evaluation were carried out. After a series of design improvements, at all flight conditions considered in this research, the wet-wall temperatures of the fuel circuits were below our target (upper-limit) value except the regions close to their exits where the residence time left was short enough.

Annual Report Figures for 2024

Fig.1: Schematic illustration of coaxially-staged lean-burn fuel injector with thermal management function.

 

Annual Report Figures for 2024

Fig.2: Normalized wet-wall temperatures of fuel circuits at flight conditions.

 

Publications

- Non peer-reviewed papers

MATSUURA, K. and YAMAMOTO, T. : Development of anti-coking thermal management technologies for a coaxially-staged lean-burn fuel injector for high-pressure-ratio aero-engines. ~ First report: Evaluation of thermal protection performance and validation of numerical analysis by experiments in realistic environments. ~, JAXA-RM-24-008E (2025).

- Web

https://jaxa.repo.nii.ac.jp/records/2001693

Usage of JSS

Computational Information

  • Process Parallelization Methods: MPI
  • Thread Parallelization Methods: N/A
  • Number of Processes: 1024
  • Elapsed Time per Case: 144 Hour(s)

JSS3 Resources Used

 

Fraction of Usage in Total Resources*1(%): 3.79

 

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 103172044.09 4.72
TOKI-ST 30797.43 0.03
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 350.95 0.24
/data and /data2 178176.67 0.85
/ssd 30720.00 1.65

 

Archiver Resources
Archiver Name Storage Used
(TiB)
Fraction of Usage*2(%)
J-SPACE 0.09 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)
825.91 0.56

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

JAXA Supercomputer System Annual Report February 2024-January 2025