Next generation jet engine technology – development of high efficiency compressor design tecnology and aerodynamic performance prediciton –
JAXA Supercomputer System Annual Report April 2018-March 2019
Report Number: R18EA0711
Subject Category: Aeronautical Technology
- Responsible Representative: Toshio Nishizawa, Aeronautical Technology Directorate, Propulsion Research Unit
- Contact Information: Junichi Kazawa, Aeronautical Technology Directorate, Propulsion Research Unit(kazawa.junichi@jaxa.jp)
- Members: Junichi Kazawa, Yuntae Lee, Takafumi Kanayama, Kenshi Yamashita, Shunji Enomoto, Susumu Teramoto
Abstract
We will develop aerodynamic performance improvement technology and high precision aerodynamic performance prediction technology for multistage-compressore assuming an increase in relative tip clearance, corresponding to a small core engine applied to an ultra-high bypass ratio engine.
Reference URL
N/A
Reasons for using JSS2
Prediction of multistage compressor aerodynamic performance and the resolved-LES implemented to obtain detailed knowledge about the loss of the blades can not be calculated in a realistic time other than JSS2.
Achievements of the Year
Calculations by resolved-LES was performed using published data. It was confirmed that the obtained results by numerical simulation were in good agreement with the experimental results at the design point. At the off-design point, the experimental results and the numerical results are largely different, so we plan to extract issues and improve the prediction accuracy.
Fig.1: Mach Number Distribution in Design Point
Fig.2: Calculated Profile Loss Coefficient from resolved-LES
Publications
N/A
Usage of JSS2
Computational Information
- Process Parallelization Methods: MPI
- Thread Parallelization Methods: Automatic Parallelization
- Number of Processes: 768 – 1536
- Elapsed Time per Case: 90 Hour(s)
Resources Used
Fraction of Usage in Total Resources*1(%): 0.58
Details
Please refer to System Configuration of JSS2 for the system configuration and major specifications of JSS2.
| System Name | Amount of Core Time(core x hours) | Fraction of Usage*2(%) |
|---|---|---|
| SORA-MA | 1,282,996.52 | 0.16 |
| SORA-PP | 748,430.83 | 5.98 |
| SORA-LM | 0.00 | 0.00 |
| SORA-TPP | 0.00 | 0.00 |
| File System Name | Storage Assigned(GiB) | Fraction of Usage*2(%) |
|---|---|---|
| /home | 22.89 | 0.02 |
| /data | 2,104.44 | 0.04 |
| /ltmp | 4,687.50 | 0.40 |
| Archiver Name | Storage Used(TiB) | Fraction of Usage*2(%) |
|---|---|---|
| J-SPACE | 0.16 | 0.01 |
*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