本文へ移動

サイトナビゲーションへ移動

検索ボックスへ移動

サイドバーへ移動

ここは、本文エリアの先頭です。

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

JAXA Supercomputer System Annual Report April 2018-March 2019

Report Number: R18EDA201N11

Subject Category: Aeronautical Technology

PDF available here

  • Responsible Representative: Yasuhiro Mizobuchi, Senior researcher, Aeronautical echnology Directrate, Numerical Simulation Research Unit
  • Contact Information: Yasuhiro Mizobuchi, Japan Aerospace Exploration Agency, Aeronautical Technology Directrate(mizo@chofu.jaxa.jp)
  • Members: Taisuke Nambu, Hiroki Yao, Shogo Yasuda, Yasuhiro Mizobuchi, Hiroyuki Abe, Manabu Hisida, Tsukasa Hori, Youichi Ogata, Yoshimitsu Kohashi, Atsusi Fujino, Shun Ito, Daichi Obinata, Jun Hashimoto, Ryohei Kirihara, Takuhito Kuwabara, Yasushi Noguchi, Kazuhiro Uehara, Taisuke Kayashima, Hiroyuki Sakai, Shinji Nakamura, Takahiro Ishida, Takeshi Kuramoto, Takashi Kaminaga, Daiki Miyai, Ryuichi Kaminaga, Masato Kuchita, Kenichi Tokunaga, Fumihiko Tanoue, Masayuki Suzuki, Kentaro Koyama, Noriyuki Ohi, Hisato Takeda, Taketo Yamada, Junya Aono, Yuhi Morii, Yoshinori Iwanaga, Shintaro Koike, Yoshihiro Kasai, Takafumi Itou, Mikiroh Motoe

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

Please refer to ‘HINOCA関連資料|革新的燃焼技術|報戦略的イノベーション創造プログラム(SIP)‘.

Reasons for using JSS2

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

Achievements of the Year

Conservation level has been largely improved by developing a novel IB(Immersed Boundary) method.

Engine combustion simulation software HINOCA which enables combustion simulation directly from engine data without mesh generation, has been constructed by installing sub-models developed in the SIP combustion technology project.

The cylinder pressure histories and their cycle to cycle variations in a mass-production engine have been well reproduced for both stoichometry and lean conditions.

Annual Reoprt Figures for 2018

Fig.1: Combustion simulation directly from engine data without meshing process.

 

Annual Reoprt Figures for 2018

Fig.2: Reproduction of pressure history (left) and cycle to cycle variation (right) of a mass-production engine for stoichiometric (upper) and lean (lower) conditions.

 

Publications

– Non peer-reviewed papers

Yasuhiro Mizobuchi, Automotive Engine Combustion Simulation Software “HINOCA”, Journal of Society of Automotive Engineers of Japan, Vol. 72 No. 4 (2018).

– Oral Presentations

Takashi Kaminaga, Akira Kikusato, Beini Zhou, Yuuhi Morii, Taketo Yamada, Toru Takabayashi, Jin Kusaka, Shogo Yasuda, Hiroki Yao, Manabu Hishida, Taisuke Nambu, Yasuhiro Mizobuchi and Yuichi Matsuo, Large Eddy Simulation and Analysis of Cycle-by-Cycle Variations in a Spark Ignition Gasoline Engine, 2018 JSAE Annual Congress (Spring), May 2018.

Satoshi Kawauchi and Masahide Takagi, Study on Applicability of Breakup Model to Sprays of Gasoline and Diesel Engines, 2018 JSAE Annual Congress (Spring), May 2018.

Satoshi Kawauchi, Masahide Takagi, Satoshi Ideguchi, Beini Zhou and Jin Kusaka, Effect of Atomization Characteristics on Mixture Formation Process in Gasoline Spray Simulation, 2018 JSAE Annual Congress (Autumun), October 2018.

Tsukasa Hori, Modeling of the evolution from ignition kernel to planar flame, 56th Symposium(Japanese) on Combustion, November, 2018.

Tsukasa Hori, Development of spark ignition model for super lean-burn in SI engines, 29th Internal Combustion Engine Symposium, November, 2018.

Taisuke Nambu, Yasuhiro Mizobuchi, Takuhito Kuwabara, Ryohei Kirihara, Applying high-order compact scheme and block-based AMR to Compressible LES flow solver for IC engine, LES4ICE2018, IFPEN/Rueil-Malmaison, France, December, 2018.

Usage of JSS2

Computational Information

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

Resources Used

 

Fraction of Usage in Total Resources*1(%): 8.07

 

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 70,455,231.76 8.63
SORA-PP 355,971.30 2.84
SORA-LM 12.78 0.01
SORA-TPP 0.00 0.00

 

File System Resources
File System Name Storage Assigned
(GiB)
Fraction of Usage*2(%)
/home 2,139.83 2.21
/data 503,079.69 8.88
/ltmp 47,564.70 4.07

 

Archiver Resources
Archiver Name Storage Used
(TiB)
Fraction of Usage*2(%)
J-SPACE 50.08 1.75

*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 2018-March 2019