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aFJR Lightweight low-pressure turbine technology development

JAXA Supercomputer System Annual Report April 2017-March 2018

Report Number: R17EA2750

Subject Category: Aeronautical Technology

PDF available here

  • Responsible Representative: Toshio Nishizawa, aFJR Project Team, Aeronautical Technology Directorate
  • Contact Information: Junichi Kazawa kazawa.junichi@jaxa.jp
  • Members: Junichi Kazawa, Toshio Nishizawa, Yasuo Horiguchi

Abstract

The purpose of aFJR project is to advance research on jet engine component technologies so that Japanese manufacturers can join more effectively in international joint-development projects on next-generation jet engines. In order to suppress the weight increase of the low pressure turbine, we develop ultra lightweight low pressure turbine technology applying heat resistant composite (ceramic based composite material (CMC)) by developing over-rotation prevention design technology and high reliability evaluation. As a part of the evaluation of high reliability, we will develop flutter boundary prediction technology considering structural characteristics and flutter prediction technology of CMC made low pressure turbine blade , after confirming the prediction accuracy of flutter occurrence point of low pressure turbine blade with comparison of experiment and CFD.

Reference URL

Please refer to ‘aFJR (Advanced Fan Jet Research) project | ECAT – Environment-Conscious Aircraft Technology Program | Aeronautical Technology Directorate‘.

Reasons for using JSS2

Since flutter analyses have many parameters and the number of analysis cases is enormous, it is necessary to use supercomputers to obtain results within a limited period of time.

Achievements of the Year

We analyzed the flutter characteristics when the material of the blade was changed from SUS to CMC using the airfoil used in the experiments in last year. It was confirmed that flutter characteristics analyses were possible also for CMC made blades, and flutter characteristics for blades of different materials could be grasped.

Annual Reoprt Figures for 2017

Fig.1: static pressure distribution on wall

 

Publications

N/A

Usage of JSS2

Computational Information

  • Process Parallelization Methods: MPI
  • Thread Parallelization Methods: N/A
  • Number of Processes: 24 – 48
  • Elapsed Time per Case: 30.00 hours

Resources Used

 

Fraction of Usage in Total Resources*1(%): 0.16

 

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 0.85 0.00
SORA-PP 238,282.78 2.98
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 067.44 0.05
/data 3,897.80 0.07
/ltmp 1,441.59 0.11

 

Archiver Resources
Archiver Name Storage Used
(TiB)
Fraction of Usage*2(%)
J-SPACE 0.00 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 2017-March 2018