Study of the Effect of Boundary Layer Ingestion (BLI) on Aircraft Propulsion / Distributed Propulsion Technology with Superconducting Motors

JAXA Supercomputer System Annual Report February 2022-January 2023

Report Number: R22EDA201P55

Subject Category: Aeronautical Technology

Responsible Representative: Tatsuya Ishii, Aviation Technology Directorate, Aviation Environmental Sustainability Innovation Hub
Contact Information: Keiichi Okai, Aeronautical Technology Directorate, Aviation Environmental Sustainability Innovation Hub(okai.keiichi@jaxa.jp)
Members: Tomoya Kogirima, Kazuhisa Amemiya, Hirokazu Higashida, Kakeru Ando, Masahiro Kono, Junichi Kazawa, Keiichi Okai, Hideji Saiki

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

It is necessary to perform unsteady calculations around the full-annulas fan calculations. So the calculation cost is huge.

Achievements of the Year

To analyze the influence of boundary layer ingestion (BLI) to the fan rotor performance, sweep and dihedral blade shapes were applied to the fan rotor and the performance of sweep and dihedral shapes were compared with the base fan rotor blade.

Fig.1: Relatice Mach Number Contours (Whole Section)

Fig.2: Relatice Mach Number Contours (90% Span)

Fig.3: Mass Flow Rate v.s. Total Pressure Ratio

Fig.4: Mass Flow Rate v.s. Adiabatic Efficiency

Publications

N/A

Usage of JSS

Computational Information

Process Parallelization Methods: MPI
Thread Parallelization Methods: Automatic Parallelization
Number of Processes: 240 – 576
Elapsed Time per Case: 24 Hour(s)

JSS3 Resources Used

Fraction of Usage in Total Resources*1(%): 0.24

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	3257848.55	0.14
TOKI-ST	45296.59	0.05
TOKI-GP	0.00	0.00
TOKI-XM	0.00	0.00
TOKI-LM	231369.49	15.50
TOKI-TST	1296.03	0.03
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	1777.04	1.61
/data and /data2	102555.11	0.79
/ssd	592.96	0.08

Archiver Resources
Archiver Name	Storage Used (TiB)	Fraction of Usage*2(%)
J-SPACE	0.13	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)	6505.48	4.53

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