Numerical Simulations for Mutirotor
JAXA Supercomputer System Annual Report February 2023-January 2024
Report Number: R23ETET45
Subject Category: Skills Acquisition System
- Responsible Representative: Kanako Yasue, Aviation Technology Directorate, Aircraft Lifecycle Innovation Hub
- Contact Information: Hideaki Sugawara(sugawara.hideaki@jaxa.jp)
- Members: Hideaki Sugawara, Kosuke Saito, Yasutada Tanabe, Takumi Yumino
Abstract
In multirotor aircrafts such as drones and electric vertical take-off and landing aircrafts (eVTOL aircrafts), complex flowfields are produced by multiple rotors, which interfere with each rotorcraft component, affecting the aerodynamic performance of rotorcraft. This work focuses on the phenomenon of aerodynamic interference in multirotors and investigates technologies to improve rotor performance for eVTOL aircraft.
Reference URL
N/A
Reasons and benefits of using JAXA Supercomputer System
For aerodynamic analysis of a multirotor, it is necessary to capture complex flowfields and vortices, and large-scale analysis using a supercomputer is required.
Achievements of the Year
Aerodynamic analysis of a multirotor is performed using the rotorcraft CFD analysis tool rFlow3D. Multirotor is assumed, and the effects of rotational speed, direction of rotation, and rotor layout on the aerodynamic performance of the multirotor are investigated for each parameter. The analysis results show that high aerodynamic performance can be achieved while avoiding performance degradation due to aerodynamic interference by appropriately setting the rotational speed, direction of rotation, and rotor layout.
Publications
– Non peer-reviewed papers
(1)Saito, et. al, “Numerical Simulation of the Aerodynamic Interference between Multiple Rotors,”The 55th Fluid Dynamics Conference/The 41st Aerospace Numerical Simulation Symposium.
(2)Yumino, et. al, “Aerodynamic Performance Analysis of Multirotor with Multirotor Lift Offset (MRLO),”, Aircraft Symposium 2023.
Usage of JSS
Computational Information
- Process Parallelization Methods: N/A
- Thread Parallelization Methods: OpenMP
- Number of Processes: 1
- Elapsed Time per Case: 336 Hour(s)
JSS3 Resources Used
Fraction of Usage in Total Resources*1(%): 0.12
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 | 912084.60 | 0.98 |
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 | 305.43 | 0.25 |
/data and /data2 | 19569.32 | 0.12 |
/ssd | 3129.13 | 0.30 |
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) | 695.57 | 0.31 |
*2: Fraction of Usage:Percentage of usage relative to each resource used in one year.
JAXA Supercomputer System Annual Report February 2023-January 2024