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Research on Structure and Composite Material Technologies for Digital Certification

JAXA Supercomputer System Annual Report February 2023-January 2024

Report Number: R23EA1601

Subject Category: Aeronautical Technology

PDF available here

  • Responsible Representative: Yuichiro Aoki, Senior Researcher, Aviation Technology Directorate, Aircraft Lifecycle Innovation Hub
  • Contact Information: Yuichiro Aoki, Digital Structures and Materials Technology Team, Aircraft Lifecycle Innovation Hub, Aviation Technology Directorate(aoki.yuichiro@jaxa.jp)
  • Members: Hiroyuki Akiyama, Yuichiro Aoki, Makoto Goto, Yoshiyasu Hirano, Shinsaku Hisada, Kenichi Kubota, Shintaro Kamiyama, Toshiyuki Kasahara, Kenji Asakawa, Kasumi Nagao, Keita Nakamoto, Kengo Sakasai, Tomo Takeda, Yasutomo Tateishi, Tetsuo Yasuoka, Koichi Yamada

Abstract

The objective of this research is to develop a FEM model to predict the thermal deformation of CFRP laminates during their AFP (Automated Fiber Placement) manufacturing process and to optimize the manufacturing conditions of CFRP products.

Reference URL

N/A

Reasons and benefits of using JAXA Supercomputer System

High-performance parallel computing is necessary because a computationally expensive contact modeling is used and multiple simulations need to be performed.

Achievements of the Year

A FEM model was developed to predict the thermal deformation of CFRP laminates during their AFP (Automated Fiber Placement) manufacturing process. Two types of FEM models were considered, and the prediction accuracy and computational time were compared between the two models. The obtained results are as follows.

(1)FEM model 1predicts the thermal deformation of CFRP laminates by taking account of the temperature-time history within each prepreg layer from a thermal analysis and the laminating processes. FEM model 2 is a simplified model neglecting the temperature-history.

(2)The deformation states from FEM models 1 and 2 were similar and were in qualitative agreement with the experimental result (Fig. 1).

(3)The computational time of FEM model 2 was about 1/1000 that of FEM model 1 (Fig. 2).

(4)Based on the results of the prediction accuracy and computational time, it was found that FEM model 2 is effective for predictig the thermal deformation of CFRP laminates.

Annual Reoprt Figures for 2023

Fig.1: Deformation states from FEM model 1, FEM model 2 and experiment

 

Annual Reoprt Figures for 2023

Fig.2: Comparison of computational time

 

Publications

– Oral Presentations

Yasutomo Tateishi, Yoshiaki Yamaoka, Hikaru Hoshi, Yuichiro Aoki, Sunao Sugimoto, Toshiya Nakamura, Study of thermal stress FEM for CFRP thermoplastic composite laminates manufactured by in-situ consolidation with AFP, 65th JSASS/JSME/JAXA Structures Conference, Matsue, August 2022.

Usage of JSS

Computational Information

  • Process Parallelization Methods: MPI
  • Thread Parallelization Methods: OpenMP
  • Number of Processes: 2 – 256
  • Elapsed Time per Case: 86400 Second(s)

JSS3 Resources Used

 

Fraction of Usage in Total Resources*1(%): 0.15

 

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 0.00 0.00
TOKI-ST 23.88 0.00
TOKI-GP 0.00 0.00
TOKI-XM 71283.78 39.04
TOKI-LM 0.00 0.00
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 248.71 0.21
/data and /data2 74342.09 0.46
/ssd 0.00 0.00

 

Archiver Resources
Archiver Name Storage Used
(TiB)
Fraction of Usage*2(%)
J-SPACE 0.00 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)
0.00 0.00

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

JAXA Supercomputer System Annual Report February 2023-January 2024