Development of 3D CFD core-software of automotive engine combustion chamber

JAXA Supercomputer System Annual Report April 2020-March 2021

Report Number: R20EDA201N11

Subject Category: Aeronautical Technology

Responsible Representative: MIZOBUCHI Yasuhiro, Senior researcher, Aeronautical echnology Directrate, Numerical Simulation Research Unit
Contact Information: MIZOBUCHI Yasuhiro, Japan Aerospace Exploration Agency, Aeronautical Technology Directrate(mizo@chofu.jaxa.jp)
Members: Taisuke Nambu, Hiroki Yao, Shogo Yasuda, Yasuhiro Mizobuchi, Hiroyuki Abe, Manabu Hisida, Atsusi Fujino, Daichi Obinata, Takuhito Kuwabara, Shintaro Koike, Mikiroh Motoe, Kei Shimura, Toshikuni Koganei

Abstract

Enhancement of CAE utilization in automotive engine research by developing an engine combustion simulation software that is sharable in Japan automotive research community

Reference URL

N/A

Reasons and benefits of using JAXA Supercomputer System

Massive-parallel large scale simulation, Large number of simulations fo software validation

Achievements of the Year

Computational time of mortoring simulation has been reduced to 1/2 by the implementation of dynamic AMR(Adaptive Mesh Refinement) procedure and the enhancement of inner iteration convergency of implicit time integration. The figure shows the AMR patterns depending on the states of the intake and exhaust valves.

Fig.1: AMR patterns depending on the states of the intake and exhaust valves.

Fig.2(video): Motoring simulation by dynamic AMR.

Publications

– Peer-reviewed papers

Yao, H., Nambu, T., Mizobuchi, Y., “An immersed boundary method for practical simulations of high-Reynolds number flows by k-e RANS models,” Journal of Fluid Science and Technology Vol. 16 No.1 (2020).

Usage of JSS

Computational Information

Process Parallelization Methods: MPI
Thread Parallelization Methods: OpenMP
Number of Processes: 1 – 1200
Elapsed Time per Case: 500 Hour(s)

Resources Used(JSS2)

Fraction of Usage in Total Resources*1(%): 1.03

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	4,124,837.23	0.78
SORA-PP	63,324.07	0.50
SORA-LM	5,434.70	3.19
SORA-TPP	0.00	0.00

File System Resources
File System Name	Storage Assigned (GiB)	Fraction of Usage*2(%)
/home	1,263.60	1.16
/data	464,320.66	8.97
/ltmp	7,835.64	0.67

Archiver Resources
Archiver Name	Storage Used (TiB)	Fraction of Usage*2(%)
J-SPACE	48.93	1.62

*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.

Resources Used(JSS3)

Fraction of Usage in Total Resources*1(%): 1.52