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研究生: 王亦恩
Wang, Yi-En
論文名稱: 商業機械手臂之切鋸運動指令生成與控制
Motion Command Generation and Sawing Control Using Commercial Robots
指導教授: 陳介力
Chen, Chieh-Li
學位類別: 碩士
Master
系所名稱: 工學院 - 航空太空工程學系
Department of Aeronautics & Astronautics
論文出版年: 2022
畢業學年度: 110
語文別: 中文
論文頁數: 45
中文關鍵詞: 刀具加工軌跡分析力量感測器STL檔案切鋸運動指令生成
外文關鍵詞: tool path analysis, force sensor, STL file, sawing motion command generation
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  • 提起加工時,一般想到的會是車床、銑床等進行直線運動的工具機,若要製造較複雜的工件,則會使用CNC多軸工具機,然而,若以多軸CNC製造傳統老師傅手工製作的工藝品,卻有點把問題複雜化了,因此,本文以STL作為3D圖形檔案,提出新的計算刀具加工路徑方法,並將機械手臂與力量感測器結合,使機械手臂可以在依照計算出來的加工軌跡運動的同時,也能根據感測器數值而有相對應的運動,若感測器的值超過設定閥值,刀具則會沿著原加工路徑退後,避免刀具及機械手臂因為力量過大而損壞。

    The purpose of this paper is to integrate 3D design and process. After importing 3D STL file, the trajectory of the robot arm can be generated automatically via the two proposed methods, the contour projection method and the coordinate transformation method. With additional force sensors, the machining force could be calculated. If the force is too large, then the robot will have the corresponding movement.
      In the experiment, we could find that when the sensor force is over the threshold, the robot will go backward, which decreases the force. And the final product is similar to the 3D graph drawn by drawing software, which shows that the method proposed in this article is feasible and practical.

    論文摘要 i ABSTRACT ii 致謝 xv 目錄 xvi 表目錄 xviii 圖目錄 xix 第1章 緒論 1 1.1 前言 1 1.2 研究動機 1 1.3 研究背景 2 1.4 本文架構 5 第2章 運動與力量指令 5 2.1 機械手臂座標系統 5 2.2 刀具與感測器 7 2.3 力量與感測器 8 第3章 物件加工面分析 10 3.1 STL檔介紹 11 3.2 加工平面判斷 11 3.2.1 輪廓投影法 12 3.2.2 座標轉換法 14 3.3 模擬情況 19 3.3.1 輪廓投影法模擬 20 3.3.2 座標轉換法模擬 21 第4章 應用及討論 23 4.1 實驗架構 23 4.1.1 實驗座標系統與刀具姿態 24 4.1.2 鋸子切割模擬 30 4.1.3 實驗硬體架 36 4.2 實驗過程 36 4.3 實驗結果 37 第5章 結論與未來展望 43 參考文獻 44

    Brugnaro, G. and S. Hanna (2017). Adaptive robotic training methods for subtractive manufacturing. Proceedings of the 37th annual conference of the association for computer aided design in architecture (ACADIA), Acadia Publishing Company.
    Brugnaro, G. and S. Hanna (2019). Adaptive Robotic Carving: Training Methods for the Integration of Material Performances in Timber Manufacturing. Robotic Fabrication in Architecture, Art and Design 2018, Springer: 336-348.
    Denavit, J. and R. S. Hartenberg (1955). "A kinematic notation for lower-pair mechanisms based on matrices."
    Duan, J., et al. (2018). "Adaptive variable impedance control for dynamic contact force tracking in uncertain environment." Robotics and Autonomous Systems 102: 54-65.
    Duenser, S., et al. (2020). "Robocut: Hot-wire cutting with robot-controlled flexible rods." ACM Transactions on Graphics (TOG) 39(4): 98: 91-98: 15.
    Gramazio, F., et al. (2010). "Encoding material." Architectural Design 80(4): 108-115.
    Hattab, A. and G. Taubin (2019). Rough carving of 3D models with spatial augmented reality. Proceedings of the ACM Symposium on Computational Fabrication.
    Hogan, N. (1985). "Impedance Control: An Approach to Manipulation: Part I—Theory." Journal of Dynamic Systems, Measurement, and Control 107(1): 1-7.
    Hogan, N. (1985). "Impedance Control: An Approach to Manipulation: Part II—Implementation." Journal of Dynamic Systems, Measurement, and Control 107(1): 8-16.
    Hogan, N. (1985). "Impedance Control: An Approach to Manipulation: Part III—Applications." Journal of Dynamic Systems, Measurement, and Control 107(1): 17-24.
    Ma, Z., et al. (2021). "Stylized Robotic Clay Sculpting." Computers & Graphics.
    Raibert, M. H. and J. J. Craig (1981). "Hybrid Position/Force Control of Manipulators." Journal of Dynamic Systems, Measurement, and Control 103(2): 126-133.
    Raspall, F., et al. (2014). Material feedback in robotic production. Robotic Fabrication in Architecture, Art and Design 2014, Springer: 333-345.
    Song, P., et al. (2017). Impedance control of robots: an overview. 2017 2nd international conference on cybernetics, robotics and control (CRC), IEEE.
    Stone, H., et al. (1986). Arm signature identification. Proceedings. 1986 IEEE International Conference on Robotics and Automation, IEEE.
    上銀科技股份有限公司 "RA605-710-GC 關節式機器手臂."

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