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Improvement of numerical analysis for internal flow with complicated configuration inside aero-engine

JAXA Supercomputer System Annual Report April 2018-March 2019

Report Number: R18EA2120

Subject Category: Aeronautical Technology

PDF available here

  • Responsible Representative: Takashi Aoyama, Aeronautical Technology Directorate, Numerical Simulation Research Unit
  • Contact Information: Shigeru Kuchiishi(kuchi-ishi.shigeru@jaxa.jp)
  • Members: Shunji Enomoto, Junichi Kazawa, Atsushi Hashimoto, Takashi Ishida, Shigeru Kuchiishi, Mitsumasa Makida, Hiroki Ugajin, Taisuke Nambu, Manabu Hisida, Rika Yamada, Keiji Ueshima, Yuuhi Tanaka, Naoki Tani

Abstract

Unstructured-grid flow solver FaSTAR-Move and grid generator BOXFUN are applied to aero-engine elements with complicated configuration (such as linear and rotating cascades). Through the calculation, these programs are tested and investigated for the deficiency and future issue for improvement of accuracy.

Reference URL

N/A

Reasons for using JSS2

Aiming to do large scale calculation in the future, programs should be tested under the same computational environment.

Achievements of the Year

Steady Reynolds averaged Navier-Stokes (RANS) calculations were performed for the transonic compressor, Rotor 67 and the cooled turbine cascade, T106A using FaSTAR-Move. The converged solutions has been obtained and validated.

Annual Reoprt Figures for 2018

Fig.1: Mach number distribution on a blade-to-blade surface in Rotor67 transonic compressor

 

Annual Reoprt Figures for 2018

Fig.2: Mach number distribution on a blade-to-blade surface in T106A tubine cascade

 

Publications

N/A

Usage of JSS2

Computational Information

  • Process Parallelization Methods: MPI
  • Thread Parallelization Methods: N/A
  • Number of Processes: 16 – 512
  • Elapsed Time per Case: 12 Hour(s)

Resources Used

 

Fraction of Usage in Total Resources*1(%): 0.11

 

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 859,332.27 0.11
SORA-PP 3,785.42 0.03
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 162.23 0.17
/data 22,808.39 0.40
/ltmp 4,858.74 0.42

 

Archiver Resources
Archiver Name Storage Used
(TiB)
Fraction of Usage*2(%)
J-SPACE 9.64 0.34

*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