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Numerical Simulations for Mutirotor

JAXA Supercomputer System Annual Report February 2023-January 2024

Report Number: R23ETET45

Subject Category: Skills Acquisition System

PDF available here

  • 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.

Annual Reoprt Figures for 2023

Fig.1: Flowfield of complicated tip vorticites around the multirotor.

 

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.

Computational Resources
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 Resources
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 Resources
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 Resources
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