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成果報告書詳細
管理番号20170000000464
タイトル*平成28年度中間年報 SIP(戦略的イノベーション創造プログラム)/革新的設計生産技術 マルチタレット型複合加工機(ターニング・ミーリング)による複雑形状の簡易・確実・高精度な知的加工システムの研究開発
公開日2017/6/7
報告書年度2016 - 2016
委託先名学校法人慶應義塾 国立大学法人名古屋大学 国立大学法人東京工業大学 中村留精密工業株式会社
プロジェクト番号P14030
部署名IoT推進部
和文要約
英文要約Title: Research and Development of the User-friendly, Reliable and Accurate Intellectual System for Machining Complex-shaped Parts by Multitasking (Turning & Milling) Machine Tool with Multi-turrets (FY2014-FY2018) FY2016 Annual Report:

1. Contents and results on the key technology (a): “Development of technologies for optimum process plan and automatic NC program generation”
The volume to be machined was disassembled into machining features. The machining features were classified to the 6 directions (upper, bottom, right, Left, front, back) according to the relative position relationship between the machining features and the center position of a target object. The machining features were assigned to three turrets (upper left turret, upper right turret, lower turret) according to the classified 6 directions and were machined by the assigned turrets, respectively. The evaluation test of the performance of a pre-prototype measurement device was conducted by setting the device in a machine tool. It was confirmed by the tests that the desired performance (measurement accuracy 0.1 mm) was obtained in real machine tests. In addition, it was also confirmed that the cutting tool shape parameters to avoid collision were derived from the measurement data. Cutting tests using automatically generated NC programs coping with three turret system and two chuck system was conducted. By the tests, it was confirmed the usefulness of the developed system.

2. Contents and results on key technology (b): “Development of intelligent technology for high accuracy and high speed machining”
Cutting force estimation technology is successfully enhanced to achieve 10 N resolution and 1 kHz bandwidth by adopting a multi-encoder based observer. To monitor chatter vibration in real time, chatter frequency detection technique is developed by applying sliding discrete Fourier transformation to the estimated cutting force, and implemented to the prototype turning-milling multitasking machine tool with multi-turrets. The experiments clarify that the developed technique can detect chatter frequency well in real time during parallel turning process in which two tools are at least utilized simultaneously in turning process.
To actively avoid chatter vibration in parallel turning, unequal pitch turning method adjusting pitch angle according to estimated chatter frequency was proposed. In this method, the upper tool was properly adjusted and consistently controlled according to an optimum pitch angle calculated from spindle speed and chatter frequency. Chatter frequency was identified from estimated cutting force by the above detection technique. By the tests, it is clear that chatter vibration can be perfectly suppressed by adjusting the upper tool to the optimum pitch angle.
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