Development of automatic system for process planning and NC program generation on turning-milling machine tool with three turrets

Ryo Fukuda, Ririko Kiyooka, Hideki Aoyama

研究成果: Conference contribution

抜粋

The objective of this study is to develop an automatic process planning and a numerical-control (NC) program generation system for free-form machining, using a turning-milling machine tool with multi-turrets. In this research, machining feature recognition was carried out based on the delta-volume decomposition to achieve process planning. This system can recognize machining features that include one free-form surface and can create a tool path for the free-form surface. A process plan candidate is generated via the assignment of machining features to each turret and the determination of the processing order of the machining features in each turret. The system generates many process plan candidates, and evaluates them based on the evaluation point of the user. In this research, the plan with the shortest machining time is selected. Next, the system automatically generates an NC program for each turret. Ultimately, a machining experiment using a turning-milling machine tool with three turrets was conducted to verify the usefulness of the system.

元の言語English
ホスト出版物のタイトルSystems, Design, and Complexity
出版者American Society of Mechanical Engineers (ASME)
11
ISBN(電子版)9780791858462
DOI
出版物ステータスPublished - 2017 1 1
イベントASME 2017 International Mechanical Engineering Congress and Exposition, IMECE 2017 - Tampa, United States
継続期間: 2017 11 32017 11 9

Other

OtherASME 2017 International Mechanical Engineering Congress and Exposition, IMECE 2017
United States
Tampa
期間17/11/317/11/9

ASJC Scopus subject areas

  • Mechanical Engineering

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  • これを引用

    Fukuda, R., Kiyooka, R., & Aoyama, H. (2017). Development of automatic system for process planning and NC program generation on turning-milling machine tool with three turrets. : Systems, Design, and Complexity (巻 11). American Society of Mechanical Engineers (ASME). https://doi.org/10.1115/IMECE2017-70491