2020 Fiscal Year Final Research Report
Process planning method for additive manufacturing with consideration of post machining process
| Project/Area Number |
18K03867
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Review Section |
Basic Section 18020:Manufacturing and production engineering-related
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| Research Institution | Saitama University |
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Principal Investigator |
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| Project Period (FY) |
2018-04-01 – 2021-03-31
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| Keywords | 機械加工 / 積層造形 / AdditiveManufacturing / 工程設計 / 工具経路 / 弾性変形 / 干渉回避 / 最適化 |
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| Outline of Final Research Achievements |
The objective of this research was to automatically optimize shape of the support set for additive manufacturing, taking into account the various conditions required in the finishing machining process. The uniqueness of this research lies in the fact that it tries to solve problems by developing a means to predict the machining error in advance and feed forward the problems to the previous step of additive manufacturing. For this purpose, we have developed a new system that uses FEM models to predict deformation of the workpiece caused by the placement of supports and the loaded force when the supports are removed, and to plan the order of support removal, tool path, and tool posture that minimize the deformation of the workpiece shape.
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| Free Research Field |
機械加工
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| Academic Significance and Societal Importance of the Research Achievements |
本研究では、新しい製造技術として今後産業界での実用が期待されている積層造形において、現状では作業者の属人的な作業に依存している後処理の効率化を実現することを目指している。新しい加工プロセスそのものの部分最適化にとどまらず、工程全体の最適化を目指す際に解決するべき課題について、その具体的な解決方法をソフトウェア的に実現するという点で大きな社会的意義があると考えられる。また、三次元形状に対して高速な幾何形状処理をこれらの工程最適化に導入する例は少なく、学術的にも大規模三次元形状の処理技術の開発として重要であると考えられる。
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