Environment Conscious Aircraft Systems Research in Eco-wing Technology:Airframe-Engine Noise Reduction Technology
JAXA Supercomputer System Annual Report April 2019-March 2020
Report Number: R19EA0602
Subject Category: Aeronautical Technology
- Responsible Representative: Yoshikazu Makino, Unit Head, Aeronautical Technology Directorate, Aviation Systems Research Unit
- Contact Information: Dongyoun Kwak, Aviation Systems Research Unit(kwak.dongyoun@jaxa.jp)
- Members: Ryotaro Sakai, Ryutaro Furuya, Mitsuhiro Murayama, Yasushi Ito, Takehisa Takaishi, Tohru Hirai, Kentaro Tanaka, Kazuhisa Amemiya, Gen Nakano, Tomoaki Ikeda, Fumitake Kuroda, Keisuke Ohira, Dongyoun Kwak, Junichi Kazawa
Abstract
Innovative drag reduction technologies are investigated to reduce the fuel consumption for a conventional aircraft configuration. Aircraft noise prediction technologies and the conceptual design technologies are also developed for future aircraft which achieve low noise and high efficiency.
Reference URL
Please refer to ‘Eco-wing technology | ECAT – Environment-Conscious Aircraft Technology Program | Aeronautical Technology Directorate‘.
Reasons and benefits of using JAXA Supercomputer System
The JSS2 is used to develop the airframe, engine, and interference noise prediction tools that have high or middle fidelities for applicable to MDO design with high fidelity CFD and FEM analysis. The airframe-engine installation and/or shielding effects are one of important key issues for the future aircraft. The accuracy of current low fidelity analysis for the airframe, engine, and interference noise prediction is not good enough for application to MDO design with high fidelity CFD and FEM analysis toward the future low-noise aircrafts. The JSS2 is required for development of high or middle fidelity noise prediction tools for competitiveness in technology.
Achievements of the Year
A high-fildelity noise propagation prediction method has been developed to simulate engine fan noise shielding effect by airframe. By utilizing linearized Euler equation on Building-Cube Cartesian Grid, the method has several advantages to efficiently simulate the noise propagation around comlicated geometries in the flowfield. The accuracy has been validated and improved through comparison with the wind tunnel test results using a fan noise simulator to investigate the fan noise shielding effect (Fig.1).
In addition, aerodynamic and aeroacoustic performances of a Krueger flap were evaluated. A Krueger flap is a leading-edge high-lift device which works similarly to a conventional slat but deployed from the lower surface of the leading edge of the wing. In contrast to a conventional slat, a Krueger flap can keep the smoothed upper surface, thus it is considered as a high-lift device for future aircraft with drag reduction technologies associated with laminar flow control. The comparision of unsteady flow simulations around a conventional slat and a Krueger flap indicated a Krueger flap concept that provides comparable aerodynamic performance to a conventional slat with reduced noise levels (Fig.2).

Fig.1: Fan noise propagation simulation around a wind tunnel test model with a fan noise simulator to investigate the fan noise shielding effect

Fig.2: Comparison of aerodynamic and aeroacoustic computational results around a conventional slat and a Krueger flap
Publications
– Poster Presentations
Usage of JSS2
Computational Information
- Process Parallelization Methods: MPI
- Thread Parallelization Methods: OpenMP
- Number of Processes: 128 – 1600
- Elapsed Time per Case: 48 Hour(s)
Resources Used
Fraction of Usage in Total Resources*1(%): 0.87
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 | 7,624,342.03 | 0.93 |
SORA-PP | 6,534.87 | 0.04 |
SORA-LM | 1,050.36 | 0.44 |
SORA-TPP | 0.00 | 0.00 |
File System Name | Storage Assigned(GiB) | Fraction of Usage*2(%) |
---|---|---|
/home | 242.35 | 0.20 |
/data | 14,656.28 | 0.25 |
/ltmp | 4,075.74 | 0.35 |
Archiver Name | Storage Used(TiB) | Fraction of Usage*2(%) |
---|---|---|
J-SPACE | 177.19 | 4.46 |
*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 2019-March 2020