Demonstration of Computational Granular Dynamics Simulation Technology for High-Precision Mold Design

2023 Fiscal Year Final Research Report

• Project/Area Number: 17KK0110
• Research Category: Fund for the Promotion of Joint International Research (Fostering Joint International Research)
• Allocation Type: Multi-year Fund
• Research Field: Computational science
• Research Institution: The University of Tokyo
• Principal Investigator: Sakai Mikio 東京大学, 大学院工学系研究科(工学部), 教授 (00391342)
• Project Period (FY): 2018 – 2023
• Keywords: 離散要素法 / Discrete Element Method / DEM / 粉体シミュレーション / 粒子法 / DEM-CFD / 数値流体力学 / 工業製品

Outline of Final Research Achievements

The industrial application of granular flow simulation is a research topic that has attracted international attention, and hence lots of sessions have been organized at numerous international conferences on computational and chemical engineering. In this study, we focus on powder die filling. It has been noted that current powder die-filling technology relies heavily on the expertise of engineers, making it difficult to transfer this knowledge. To resolve this issue, computer simulation is expected to be applied to the powder die-filling. In this study, we develop an innovative simulator that enables high-precision mold design without the need to fabricate prototypes. A new numerical analysis model combining the applicant's original technologies is planed to be developed and to perform validation tests.

Free Research Field

計算科学

Academic Significance and Societal Importance of the Research Achievements

今日の粉体成形技術は、職人の経験に支えられており、技術継承が困難となることが指摘されている。この問題を解決するために、コンピュータシミュレーションの粉体成形技術への応用が期待されている。そこで、本研究では、申請者が独自開発した計算モデルを組み合わせて、試作品を製作しなくても高精度な金型設計が可能となる革新的なシミュレータを開発する。