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Research for Innovation of Rocket Propulsion Engine

JAXA Supercomputer System Annual Report April 2017-March 2018

Report Number: R17EG3204

Subject Category: Research and Development

PDF available here

  • Responsible Representative: Kouichi Okita (Director), Research and Development Directorate, Unit IV
  • Contact Information: Susumu Hasegawa hasegawa.susumu@jaxa.jp
  • Members: Susumu Hasegawa, Toshiya Kimura, Kosei Goto, Atsushi Osada, Masaaki Fukui, Toshihiko Munakata, Masaharu Takahashi, Kenji

Abstract

Reusable rockets are attracting attention as spacecraft, but their engines are required to have high performance at a wide range of environmental pressures. In this research, the performance of the aerospike nozzles was investigated by using large-scale numerical fluid dynamics.

Reference URL

N/A

Reasons for using JSS2

The number of experiments is limited, and the data obtained are limited. Therefore, after verification of numerical results, data which are difficult to obtain by wind tunnel test can be obtained. By using higher-performance computer, more reliable data can be obtained and the development of nozzle technology are accelerated.

Achievements of the Year

We began to do research on the aerospike nozzles by using the numerical fluid dynamics. Since it was necessary to verify the numerical results with the experimental data obtained, numerical analysis was conducted the liner aerospike nozzles of 40% and 60% in addition to the 80% linear aerospike nozzle. Computations were performed and numerical results were obtained when the nozzle pressure ratio (NPR) were 10, 40, 100. Details of the flow analysis are under consideration.

Annual Reoprt Figures for 2017

Fig.1: Mach number distribution around the 80% linear aerospike nozzle, NPR=10

 

Annual Reoprt Figures for 2017

Fig.2: Mach number distribution around the 80% linear aerospike nozzle, NPR=100

 

Annual Reoprt Figures for 2017

Fig.3: Mach number distribution around the 60% linear aerospike nozzle, NPR=10

 

Annual Reoprt Figures for 2017

Fig.4: Mach number distribution around the 40% linear aerospike nozzle, NPR=10

 

Publications

N/A

Usage of JSS2

Computational Information

  • Process Parallelization Methods: MPI
  • Thread Parallelization Methods: N/A
  • Number of Processes: 32 – 256
  • Elapsed Time per Case: 3.00 hours

Resources Used

 

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

 

Details

Please refer to System Configuration of JSS2 for the system configuration and major specifications of JSS2.

Computational Resources
System Name Amount of Core Time
(core x hours)
Fraction of Usage*2(%)
SORA-MA 6,423.68 0.00
SORA-PP 9.49 0.00
SORA-LM 0.00 0.00
SORA-TPP 0.00 0.00

 

File System Resources
File System Name Storage Assigned
(GiB)
Fraction of Usage*2(%)
/home 100.89 0.07
/data 5,034.13 0.09
/ltmp 11,067.71 0.83

 

Archiver Resources
Archiver Name Storage Used
(TiB)
Fraction of Usage*2(%)
J-SPACE 1.15 0.05

*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 2017-March 2018