Study on Conceptual Design and Blade Shape Optimization of Mars Helicopter
JAXA Supercomputer System Annual Report April 2020-March 2021
Report Number: R20ECMP14
Subject Category: Competitive Funding
- Responsible Representative: Yoshikazu Makino, Aeronautical Technology Directorate, Aviation Systems Research Unit
- Contact Information: Masahiro Kanazaki, Tokyo Metropolitan University(kana@tmu.ac.jp)
- Members: Yasutada Tanabe, Masahiko Sugiura, Hideaki Sugawara, Keita Kimura, Kuniyuki Takekawa, Masahiro Kanazaki, Yuki Kishi, Daisuke Kikuchi
Abstract
The purpose of this study is to propose a concept of a Martian helicopter and to obtain an aerodynamically optimal rotor blade shape based on the conceptual design of the Martian helicopter to propose an optimal helicopter airframe shape and blade shape in the Martian atmospheric environment. The obtained blade shape is evaluated by the computational fluid dynamics.
Reference URL
N/A
Reasons and benefits of using JAXA Supercomputer System
A large number of CFD calculations are required for the design optimization of the rotor blade shape. Besides, a highly accurate 3D CFD is required to evaluate the aerodynamics of the conceptual design results. For these reasons, we selected the JAXA supercomputer.
Achievements of the Year
In this study, the design optimization of the rotor blades and 3D CFD for a six-rotor concept were conducted. In the design optimization, the optimum blade shape was obtained under low Reynolds number flow conditions by employing the evolutionary algorithm and the CFD software, FaSTAR. The airfoil shape obtained by the optimization has a concave surface on the leading edge of the upper surface. This indicates that the flow structure utilizes the recirculation region to obtain lift. In the 3D CFD of the six-rotor conceptual model, the flow structure as shown in Fig. 1 was obtained using rFlow3D. Based on these results, rotor blades’ performances were evaluated. It was found that the efficiency per rotor was lower with the six-rotor of the conceptual design than that with the single rotor. The efficiency of each rotor was improved by modifying the rotor arrangement, and the design knowledge for the detailed design for the concept was obtained.
Publications
N/A
Usage of JSS
Computational Information
- Process Parallelization Methods: N/A
- Thread Parallelization Methods: OpenMP
- Number of Processes: 1
- Elapsed Time per Case: 480 Hour(s)
Resources Used(JSS2)
Fraction of Usage in Total Resources*1(%): 0.14
Details
Please refer to System Configuration of JSS2 for the system configuration and major specifications of JSS2.
System Name | Amount of Core Time(core x hours) | Fraction of Usage*2(%) |
---|---|---|
SORA-MA | 348,521.34 | 0.07 |
SORA-PP | 59,052.97 | 0.46 |
SORA-LM | 38.37 | 0.02 |
SORA-TPP | 26,516.46 | 2.50 |
File System Name | Storage Assigned(GiB) | Fraction of Usage*2(%) |
---|---|---|
/home | 4,241.50 | 3.89 |
/data | 25,603.88 | 0.49 |
/ltmp | 4,048.04 | 0.34 |
Archiver Name | Storage Used(TiB) | Fraction of Usage*2(%) |
---|---|---|
J-SPACE | 7.74 | 0.26 |
*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.
Resources Used(JSS3)
Fraction of Usage in Total Resources*1(%): 0.49
Details
Please refer to System Configuration of JSS3 for the system configuration and major specifications of JSS3.
System Name | Amount of Core Time(core x hours) | Fraction of Usage*2(%) |
---|---|---|
TOKI-SORA | 0.00 | 0.00 |
TOKI-RURI | 688,095.49 | 3.94 |
TOKI-TRURI | 161,728.55 | 13.03 |
File System Name | Storage Assigned(GiB) | Fraction of Usage*2(%) |
---|---|---|
/home | 5,240.38 | 3.59 |
/data | 34,154.09 | 0.57 |
/ssd | 1,233.17 | 0.64 |
Archiver Name | Storage Used(TiB) | Fraction of Usage*2(%) |
---|---|---|
J-SPACE | 7.74 | 0.26 |
*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 2020-March 2021