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FINE (Flight Investigation of skiN-friction reducing Eco-coating)

JAXA Supercomputer System Annual Report April 2019-March 2020

Report Number: R19EA0603

Subject Category: Aeronautical Technology

PDF available here

  • Responsible Representative: Mitsuru Kurita, Assocaite senior researcher, Aeronautical Technology Directorate, Aviation Systems Research Unit
  • Contact Information: Mitsuru Kurita(kurita.mitsuru@jaxa.jp)
  • Members: Mitsuru Kurita, Fumitake Kuroda

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 ‘Eco-wing technology | ECAT – Environment-Conscious Aircraft Technology Program | Aeronautical Technology Directorate‘.

Reasons and benefits of using JAXA Supercomputer System

CFD analysis are 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 JSS2 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 of a turbulent channel flow over riblets in order to understand the basic characteristics regarding the riblets for the flight testing in the ‘FINE’ project. Consequently, the performance of the riblets, i.e. the effect of shrinking the streamwise extent of sinusoidal riblets, have been successfully clarified.

Publications

N/A

Usage of JSS2

Computational Information

  • Process Parallelization Methods: MPI
  • Thread Parallelization Methods: Automatic Parallelization
  • Number of Processes: 64 – 512
  • Elapsed Time per Case: 500 Hour(s)

Resources Used

 

Fraction of Usage in Total Resources*1(%): 1.28

 

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 11,614,271.43 1.41
SORA-PP 13.38 0.00
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 5.68 0.00
/data 9,847.38 0.17
/ltmp 813.80 0.07

 

Archiver Resources
Archiver Name Storage Used
(TiB)
Fraction of Usage*2(%)
J-SPACE 0.82 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.

JAXA Supercomputer System Annual Report April 2019-March 2020