Study on combustion instability

JAXA Supercomputer System Annual Report February 2023-January 2024

Report Number: R23ECMP16

Subject Category: Competitive Funding

Responsible Representative: Seiji Tsutsumi, Research and Development Directorate, Research Unit III
Contact Information: tsutsumi.seiji@jaxa.jp(tsutsumi.seiji@jaxa.jp)
Members: Junya Aono, Masahito Akamine, Hiroyuki Ito, Noriyasu Omata, Seiji Tsutsumi

Abstract

In this study, LES analysis was carried out for Continuously Variable Resonant CoContinuously Variable (CVRC), and the contraction model which can predict the occurrence of vibration combustion was developed based on the obtained result, aiming at the prediction of vibration combustion.

Reference URL

N/A

Reasons and benefits of using JAXA Supercomputer System

LES analysis and analysis of the results require large computational resources.

Achievements of the Year

In this study, a model combustor for liquid propellant rocket engines, the Continuously Variable Resonance Combustor (CVRC), was numerically analyzed using compressible Large-Eddy Simulation. By adjusting the temperature of the oxidizer inlet, the vibration combustion of the primary longitudinal mode can be generated. In the analysis at 700 K and 720 K, an amplification of the longitudinal combustion instability was observed. It was found that the combustion instability is governed by the period of the stationary wave in the combustor, the period of the traveling wave propagating in the oxidant inlet post, and the time until the disturbance reaches the combustor inlet and propagates through the fuel/oxidant shear layer to release and mix heat. Based on the obtained results, a reduced model to predict the occurrence of oscillatory combustion was tried based on the Matveev and Culick (Combust.Sci.Tech. 175 (6) 2003) model. From the original model, two points are extended: modeling of traveling waves in an oxidant inlet post and handling of diffusion flames. The development of the contraction model will be continued.

Publications

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Usage of JSS

Computational Information

Process Parallelization Methods: MPI
Thread Parallelization Methods: N/A
Number of Processes: 8 – 32
Elapsed Time per Case: 10 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.

Computational Resources
System Name	CPU Resources Used (Core x Hours)	Fraction of Usage*2(%)
TOKI-SORA	770625.60	0.03
TOKI-ST	11703.04	0.01
TOKI-GP	0.00	0.00
TOKI-XM	0.00	0.00
TOKI-LM	177.80	0.01
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	77.43	0.06
/data and /data2	13605.23	0.08
/ssd	0.00	0.00

Archiver Resources
Archiver Name	Storage Used (TiB)	Fraction of Usage*2(%)
J-SPACE	99.25	0.36

*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)	229.43	0.10

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