Estimation of a Propeller Performance
JAXA Supercomputer System Annual Report February 2022-January 2023
Report Number: R22EDA201D01
Subject Category: Aeronautical Technology
- Responsible Representative: Masashi Harada, AviationTechnology Directorate, Aviation Safety Innovation Hub
- Contact Information: Masashi Harada(harada.masashi@jaxa.jp)
- Members: Hirokazu Higashida, Masashi Harada, Junichi Kazawa, Hideji Saiki
Abstract
Development of Propeller and Ducted Fan Design Tools to Maximize the Static Thrust
Reference URL
N/A
Reasons and benefits of using JAXA Supercomputer System
Verification of propeller performance designed with a propeller design tool that maximizes the static thrust. Calculation of detailed velocity distribution of the propeller wake for use in tool refinement.
Achievements of the Year
The performance of a propeller optimally designed with OptRotor, a propeller design program that maximizes static thrust, the position and shape of the blade tip vortices, and the distribution of thrust on the blades were calculated using CFD. The movement of the blade tip vortex is shown in (Fig. 1). As observed in the experiment, the blade tip vortex moves radially inward immediately after its formation. This causes the spiral vortex formed by the wing tip vortices to contract. Downward induced velocity develops inside the spiral vortex, but no downward induced velocity develops outside the spiral vortex. This situation is shown in (Fig. 2). The optimum design of the propeller blade by OptRotor has a bulge at the tip of the propeller, which actively generates lift at the tip where the downward induced velocity is small. The radial thrust distribution (Fig. 3) shows that the most thrust is generated near the tip (200 mm). On the other hand, the distribution of absorbed power in the radial direction (Fig. 4) shows that there is a region of reduced absorbed power near the tip (200 mm), indicating that the propeller tip bulge obtained with the OptRotor is highly efficient in generating thrust where absorbed power is small, thus demonstrating the validity of the OptRotor design.
Fig.1(video): The movement of the blade tip vortex
Publications
N/A
Usage of JSS
Computational Information
- Process Parallelization Methods: MPI
- Thread Parallelization Methods: N/A
- Number of Processes: 960
- Elapsed Time per Case: 636.3 Hour(s)
JSS3 Resources Used
Fraction of Usage in Total Resources*1(%): 0.03
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 | 807721.20 | 0.04 |
TOKI-ST | 795.54 | 0.00 |
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 | 13.70 | 0.01 |
/data and /data2 | 16547.78 | 0.13 |
/ssd | 289.63 | 0.04 |
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) | 0.00 | 0.00 |
*2: Fraction of Usage:Percentage of usage relative to each resource used in one year.
JAXA Supercomputer System Annual Report February 2022-January 2023