成果報告書詳細
管理番号20150000000418
タイトル*平成26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2015/7/18
報告書年度2014 - 2014
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
部署名ロボット・機械システム部
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 (FY2014-2015) FY2014 Annual Report

In order to machine a complex-shaped part easily, reliably and accurately by using the multi-turret-type machine tools, our research group promotes the research and development of two key technologies. One is the CAD/CAM based technology to determine an optimum machining process which is able to avoid tool collision and generate an automatic NC program. The other is the observer-based intelligent technology to realize accurate and efficient machining of complex parts. The results obtained in 2014 are shown below.
1. Algorithm to determine the optimum machining processes for machining complex shapes using a turning-milling machine tool with single turret was developed by disassembling the delta volume (the deference between a low material and a target shape) into machining features (machining shape units) and deciding the optimum order of the machining features. A basic system to determine the optimum machining processes for machining complex shapes using a turning-milling machine tool with single turret was developed by implementing the algorithm.
2. In order to avoid collision between cutting tools and other components, it is necessary to develop a technology for constructing their shape data (CAD data). Technique to develop a measurement device using a compact camera for acquiring shape data (crowded point data) was investigated. Detail specification and technological problems were clarified by discussion. Algorithm to construct 3D shape model (CAD data) using acquired shape data (crowded point data) was developed.
3. By applying the disturbance observer to plural axes of multi-tasking machine tools, an accurate cutting force estimation method integrating both information from tool side and workpiece side was proposed. The effectiveness was theoretically verified. In addition, the direct PWM control can reduce the difference of the delay between the motor current reference and the angle response signal. As the result, it was found by simulation that the bandwidth of the cutting estimation becomes wider. The compensation technique of the delay was also developed in this study.
4. In order to develop “process identification technology” for multi-tasking machining, an analytical-mechanistic force model considering basic cutting kinematics was developed. Dynamic models of mechanical structures and cutting process are also developed for highly-accurate process analysis. The developed models are verified through a series of experiments.
5. A simulation model including angular error motion during a driving of the table was developed by considering relative position among the center of gravity, a driving point, a feedback sensor. The result of actual cutting experiment confirmed that the developed model can provide dynamic behavior of the moving table and the estimating error of cutting force by observer is caused by undesirable angular motion error of the moving table.

Preparation for Innovation Style:
A symposium on this research program was held in the 2015 spring annual meeting of Japan Society on Precision Engineering. The symposium had about 50 participants. For the participants, invitation to this project as a user was announced to evaluate the system developed by this project.
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