Development of High-Performance Riblets for Aircraft (J-SPARC)
JAXA Supercomputer System Annual Report February 2025-January 2026
Report Number: R25EFH60201
Subject Category: Common Business
- Responsible Representative: Mitsuru Kurita, Aeronautical Technology Directorate, Aviation Environmental Sustainability Innovation Hub
- Contact Information: Kento Kaneko, Aeronautical Technology Directorate, Aviation Environmental Sustainability Innovation Hub(kaneko.kento@jaxa.jp)
- Members: Mitsuru Kurita, Keisuke Ohira, Kento Kaneko, Dongyoun Kwak, Monami Sasamori
Abstract
By developing a proprietary riblet geometry effective in reducing turbulent skin-friction drag, and by establishing and applying an easy-to-coat method for forming an optimal riblet surface on the airframe, friction drag in the turbulent boundary layer is reduced.
Reference URL
Please refer to https://www.aero.jaxa.jp/eng/research/ecat/igreen/ .
Reasons and benefits of using JAXA Supercomputer System
In the development of proprietary riblet geometries, it is essential to identify optimal configurations based on a detailed understanding of complex flow fields. To this end, CFD is employed as a key tool for rapidly and accurately evaluating riblet performance characteristics. However, high-fidelity CFD analyses require substantial computational resources. Therefore, access to supercomputing capability is indispensable for the effective execution of this project.
Achievements of the Year
We have performed a series of direct numerical simulations of a turbulent channel flow with a trapezoidal-grooved riblet and analyzed the relationship between the tip flattness of the riblet and the drag reduction effect.
Fig.1: Isosurface of the Q-criteria in turbulent channel flow.
Publications
- Oral Presentations
Kento Kaneko, Mitsuru Kuritai, Hiroyuki Ab, Monami Sasamore, Seigo Koga, Fumitake Kuroda, "Effect of Rib Tip Wear on the Drag Reduction Performance of Trapezoidal Groove Riblets," 39th Computational Fluid Dynamics Symposium (Kitakyushu International Conference Center, 16-18 December 2025), OS3-3-2-01.
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(%): 0.01
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 | 360989.87 | 0.02 |
| TOKI-ST | 422.64 | 0.00 |
| 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 Name | Storage Assigned(GiB) | Fraction of Usage*2(%) |
|---|---|---|
| /home | 0.00 | 0.00 |
| /data and /data2 | 0.00 | 0.00 |
| /ssd | 0.00 | 0.00 |
| Archiver Name | Storage Used(TiB) | Fraction of Usage*2(%) |
|---|---|---|
| J-SPACE | 2.00 | 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.
ISV Software Licenses Used
| ISV Software Licenses Used(Hours) | Fraction of Usage*2(%) | |
|---|---|---|
| ISV Software Licenses(Total) | 0.00 | 0.00 |
*2: Fraction of Usage：Percentage of usage relative to each resource used in one year.
JAXA Supercomputer System Annual Report February 2025-January 2026