Study of forward flight performance of multi-rotor
JAXA Supercomputer System Annual Report February 2021-January 2022
Report Number: R21ETET07
Subject Category: Skills Acquisition System
- Responsible Representative: Yuto Sayama, Graduate student, Tokyo University of Agriculture and Techonology
- Contact Information: Hideaki Sugawara(sugawara.hideaki@jaxa.jp)
- Members: Yuto Sayama, Hideaki Sugawara, Yasutada Tanabe
Abstract
Study of forward flight performance of multi-rotor aircraft
Reference URL
N/A
Reasons and benefits of using JAXA Supercomputer System
In order to perform a rotorcraft analysis tool.
Achievements of the Year
Numerical analyses are performed on a rotor of a multi-rotor aircraft using rotorcraft CFD tool. To examine the advantages of a configuration with a propeller for propulsion and flying forward with a horizontal attitude (Fig. 1), the forward flight performance of the rotor was investigated by changing the forward tilt angle of the rotor. The results show that the smaller forward tilt angle improves the forward flight performance (Fig. 2).
Fig.1: Multi-rotor aircraft equipped with a propeller for propulsion and flying forward in a horizontal attitude.
Fig.2: Effective lift-to-drag ratio of a rotor relative to the rotor tilt angle. Effective lift-to-drag ratio is a index of the forward flight performance of a rotor.
Publications
- Non peer-reviewed papers
Sayama, Y., Hayami, K., Tanabe, Y., Sugawara, H., and Kameda, M., "PERFORMANCE OF A DUAL-CONTROLLED ROTOR IN LEVEL FLIGHT," 47th European Rotorcraft Forum, (2021).
- Oral Presentations
Sayama, Y., Hayami, K., Tanabe, Y., Sugawara, H., and Kameda, M., "PERFORMANCE OF A DUAL-CONTROLLED ROTOR IN LEVEL FLIGHT," 47th European Rotorcraft Forum, (2021).
Usage of JSS
Computational Information
- Process Parallelization Methods: N/A
- Thread Parallelization Methods: OpenMP
- Number of Processes: 1
- Elapsed Time per Case: 100 Hour(s)
JSS3 Resources Used
Fraction of Usage in Total Resources*1(%): 0.02
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 | 0.00 | 0.00 |
| TOKI-ST | 162962.79 | 0.20 |
| TOKI-GP | 0.00 | 0.00 |
| TOKI-XM | 0.00 | 0.00 |
| TOKI-LM | 0.00 | 0.00 |
| TOKI-TST | 809.75 | 0.02 |
| TOKI-TGP | 0.00 | 0.00 |
| TOKI-TLM | 0.00 | 0.00 |
| File System Name | Storage Assigned(GiB) | Fraction of Usage*2(%) |
|---|---|---|
| /home | 539.18 | 0.54 |
| /data and /data2 | 33814.51 | 0.36 |
| /ssd | 500.99 | 0.13 |
| 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.
ISV Software Licenses Used
| ISV Software Licenses Used(Hours) | Fraction of Usage*2(%) | |
|---|---|---|
| ISV Software Licenses(Total) | 152.96 | 0.11 |
*2: Fraction of Usage：Percentage of usage relative to each resource used in one year.
JAXA Supercomputer System Annual Report February 2021-January 2022