Transactions of the Japan Society for Computational Engineering and Science
Online ISSN : 1347-8826
ISSN-L : 1344-9443
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Displaying 1-3 of 3 articles from this issue
  • Daiki WATANABE, Hiroya HOSHIBA, Koji NISHIGUCHI, Junji KATO
    2023 Volume 2023 Pages 20230001
    Published: February 01, 2023
    Released on J-STAGE: February 01, 2023
    JOURNAL FREE ACCESS

    The present study proposes a multi-material topology optimization method considering the strengths both of solid materials and interface. In order to consider multiple factors of Young’s modulus and strength at the same time, the DMO material interpolation function that the coefficients are given equivalently is applied. To resolve the singularity problem, we propose the stress definition adapted to the DMO material interpolation function. Furthermore, the graded interface with a two-step density filter is introduced to represent the interface on a density-based method. The tension/compression asymmetric interfacial strength criteria makes it possible to obtain an optimal layout in which the interface is not subjected to tensile strain. The validity of the method proposed in this study is verified with three structural models.

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  • Shuo HUANG, Takuya ASHIDA, Tomokazu NAKAGAWA, Tsuyoshi ASHIDA
    2023 Volume 2023 Pages 20230002
    Published: February 20, 2023
    Released on J-STAGE: February 20, 2023
    JOURNAL FREE ACCESS

    A Faster and data-driven method by deep learning, compare with a traditional method by FEM, is proposed for thermal simulation of Wire Arc Additive Manufacturing (WAAM). In this paper, cross sectional temperature distributions of WAAM-made parts are predicted and shows a good agreement with FEM method.

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  • Katsuji TANAKA, Naoki MORITA, Naoto MITSUME
    2023 Volume 2023 Pages 20230003
    Published: March 16, 2023
    Released on J-STAGE: March 16, 2023
    JOURNAL FREE ACCESS

    This study develops a numerical method for large-scale parallel analysis in Euler description based on the mesh-free method for optimal topology design. Therefore, we propose an upwind scheme for the least squares moving particle semi-implicit (LSMPS) method to stabilize numerical oscillations associated with the Euler description. In addition, we extend the distributed memory parallelization method based on a conventional overlapping domain decomposition to the graph structure of the particles, and develop a parallel convection–diffusion analysis solver based on our proposed upwind LSMPS method. Furthermore, we perform a verification and scaling tests of the proposed method by solving the 3D convection–diffusion problem.

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