Innovative Green Aircraft Technology (iGreen) : Riblet coating technology
JAXA Supercomputer System Annual Report February 2024-January 2025
Report Number: R24EDA101R01
Subject Category: Aeronautical Technology
- Responsible Representative: Mitsuru Kurita, Aeronautical Technology Directorate, Aviation Environmental Sustainability Innovation Hub
- Contact Information: Mitsuru Kurita, Aeronautical Technology Directorate, Aviation Environmental Sustainability Innovation Hub(kurita.mitsuru@jaxa.jp)
- Members: Fumitake Kuroda, Mitsuru Kurita, Monami Sasamori
Abstract
By developing a particular riblet pattern that is effective at reducing the turbulence frictional resistance, and by producing and applying an easy-to-coat method that can create an optimum riblet surface on the airframe, reduce friction drag in the turbulence boundary layer.
Reference URL
Please refer to 'Innovative Green Aircraft Technology (iGreen) | Sky Green+ | Aviation Technology Directorate'.
Reasons and benefits of using JAXA Supercomputer System
CFD analysis is used for developing a particular riblet pattern that is effective at reducing the turbulence frictional resistance. Huge calculation resources and costs are required for the high fidelity and quick response CFD analysis for obtaining the optimum riblet pattern. Use of JSS is indispensable for these requirements; the cost and time on the CFD analysis are drastically saved .
Achievements of the Year
We have performed a series of direct numerical simulations (DNS) of a turbulent channel flow over a blade-type riblet and analyzed the dependence of the riblet spacing and the Reynolds number in the drag reduction rate.
Fig.1: Contours of the streamwise velocity together with the velocity vectors in the blade-type riblet DNS at Re_tau=395.
Publications
- Oral Presentations
Mitsuru Kurita, Monami Sasamori, Hiroyuki Abe, Seigo Koga, Yoshimi Iijima, "Single Bevel Straight Riblet for Improvement of Skin-Friction Drag Reduction," Proceedings of the 62st Aircraft Symposium (AOSSA/Happiring, 15-17 October 2024), 2B12.
Usage of JSS
Computational Information
- Process Parallelization Methods: MPI
- Thread Parallelization Methods: Automatic Parallelization
- Number of Processes: 64 - 256
- Elapsed Time per Case: 300 Hour(s)
JSS3 Resources Used
Fraction of Usage in Total Resources*1(%): 4.02
Details
Please refer to System Configuration of JSS3 for the system configuration and major specifications of JSS3.
| System Name | CPU Resources Used(Core x Hours) | Fraction of Usage*2(%) |
|---|---|---|
| TOKI-SORA | 109383755.83 | 5.01 |
| TOKI-ST | 43976.66 | 0.05 |
| TOKI-GP | 0.00 | 0.00 |
| TOKI-XM | 0.00 | 0.00 |
| TOKI-LM | 22450.92 | 1.62 |
| TOKI-TST | 0.00 | 0.00 |
| TOKI-TGP | 0.00 | 0.00 |
| TOKI-TLM | 0.00 | 0.00 |
| File System Name | Storage Assigned(GiB) | Fraction of Usage*2(%) |
|---|---|---|
| /home | 1.19 | 0.00 |
| /data and /data2 | 64849.37 | 0.31 |
| /ssd | 0.00 | 0.00 |
| Archiver Name | Storage Used(TiB) | Fraction of Usage*2(%) |
|---|---|---|
| J-SPACE | 6.60 | 0.02 |
*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 Used(Hours) | Fraction of Usage*2(%) | |
|---|---|---|
| ISV Software Licenses(Total) | 1262.53 | 0.86 |
*2: Fraction of Usage：Percentage of usage relative to each resource used in one year.
JAXA Supercomputer System Annual Report February 2024-January 2025