Study of the Effect of Boundary Layer Ingestion (BLI) on Aircraft Propulsion

JAXA Supercomputer System Annual Report February 2021-January 2022

Report Number: R21EDA201P55

Subject Category: Aeronautical Technology

Responsible Representative: Keiichi OKAI, Associate Senior Researcher, Environmentally Sustainable Engine Team, Aviation Environmental Sustainability Innovation Hub, Aviation Technology Directorate
Contact Information: Keiichi OKAI(okai.keiichi@jaxa.jp)
Members: Keiichi Okai, Kazuhisa Amemiya, Tomoya Kogirima, Junichi Kazawa, Akiyoshi Masaki

Abstract

In this study, evaluation of unsteady aerodynamics in aircraft fan under strongly distorted inflow condition simulating airframe/engine integration configuration with Boundary Layer Ingestion (BLI) benefit suited for future electric aircraft. Under these BLI conditions, aircraft fan suffers almost all the flight path strongly distorted inflow conditions, the present study investigates the fan flows in detail through the numerical simulations.

Reference URL

N/A

Reasons and benefits of using JAXA Supercomputer System

The srudy deals with fan aerodynamic flows under inlet conditions of asymmetric distorsion inflow. For the purpose, high-resolution and full-annula duct flow analysis is necessary with the use of JSS2 supercomputer.

Achievements of the Year

Fan rotor unsteady aerodynamic flow analysis was conducted under the inflow distortion condition simulating airframe/engine integration configuration suited for future electric aircraft. Figure 1 shows baseline and forward-swept rotor-blades. Figure 2 shows entropy distribution in peak efficiency point at 96% span with baseline (upper side) and swept (lower side) rotor-blade shapes under BLI condition. The figure indicates improvement due to change of blade shape in the distribution of entropy rise in the same distorted inflow condition. Figure 3 shows Mach number distribution for the same condition as Fig. 2. The figure indicates that modified flow with blade shape change contributes to loss reduction seen in Fig. 2

Fig.1: Figure 1 Rotor-blade shape (baseline and swept)

Fig.2: Figure 2 Entropy distribution at 96% span (Baseline (upper side), Swept (lower side))

Fig.3: Figure 3 Mach number distribution at 96% span (Baseline (upper side), Swept (lower side))

Publications

– Oral Presentations

Masaki, A., Kono, M., Sato, T., Okai, K., Kazawa, J., Masaki, D., Numerical analysis of the effect of blade inclination on fan performance under total pressure distortion simulating Boundary Layer Ingestion, 49th Annual Meeting Gas Turbine Society of Japan (GTSJ), October 2021.

Usage of JSS

Computational Information

Process Parallelization Methods: MPI
Thread Parallelization Methods: OpenMP
Number of Processes: 486 – 630
Elapsed Time per Case: 10 Hour(s)

JSS3 Resources Used

Fraction of Usage in Total Resources*1(%): 0.01

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	234058.51	0.01
TOKI-ST	27690.17	0.03
TOKI-GP	0.00	0.00
TOKI-XM	0.00	0.00
TOKI-LM	23.67	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	782.88	0.78
/data and /data2	43407.88	0.46
/ssd	441.06	0.11

Archiver Resources
Archiver Name	Storage Used (TiB)	Fraction of Usage*2(%)
J-SPACE	0.16	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)	370.26	0.26

*2: Fraction of Usage：Percentage of usage relative to each resource used in one year.