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  • 學位論文

以機器手臂輔助自動化檢測平面焊道之研磨表面

Automatic inspection for grinding surface of weld beads using robot arm

指導教授 : 王銀添
共同指導教授 : 許又升

摘要


本論文針對焊道研磨的製程部分,提出線上檢測的概念,並以圖型化的方式說明檢測的結果。透過分析了機器視覺、三次元量測儀及接觸式偏角感測器的三種量測方法,最後依據焊道研磨製程的條件,選擇使用接觸式偏角感測器,來測量焊道研磨前後的工件平面度。在研磨實驗的前後,讀取機器手臂檢測路徑中的數據資料,再依時間軸圖型化分析數據,並建立平面度的檢測標準,即完成檢測焊道研磨工件的平面度。因應工業4.0(Industry 4.0)的智慧製造理念,預期提高研磨製程的完善率和建立大數據系統,期望透過數據蒐集並分析,達到高效率、高精度的研磨製程結果。本研究系統量測架構為ABB IRB 120機器手臂和METROL Sensor,路徑規劃和圖型化分析則使用ABB的RobotStudio和MATLAB完成。最後,在限制工件無法移動的條件下,建立一個不需重裝的線上量測架構和檢測平面度的判斷方式。

並列摘要


This thesis presents the concept of on-line measurement on weld beads in grinding process and analyze the measurement results using graphical method. Among three measuring methods including the machine vision, the coordinate measuring machine and the contact-type deflection sensor, the use of the contact-type deflection sensor is most suitable for weld beads in grinding process. There are three major steps in the grinding experiment. First, read the data from the detection path of the robot arm; second, plot the data with respect to the time; finally, determine the detection standard of grinding surface and analyze the flatness of the grinding workpiece. According to the concept of Industry 4.0, the efficiency and precision of the grinding process could be improved by collecting and analyzing the big data of the grinding system. In this study, the surface measurement system consisted of an ABB IRB 120 robotic arm and a METROL Sensor. The algorithms of path planning and graphical analysis were performed using the ABB's RobotStudio and MATLAB software, respectively. In the case of static workpiece, an on-line measurement procedure was carried out in this study to determine the flatness without reloading the tools.

參考文獻


References
[1]Jinfeng Zhang, Gangfeng Liu, Xizhe Zang and Liyi Li.”A Hybrid Passive/Active Force Control Scheme for Robotic Belt Grinding System.” IEEE International Conference on Mechatronics and Automation. Aug.2016. pp 7-9
[2]Chenxi Ren, Yongqiang Gong, Fang Jia and Xingsong Wang.” Theoretical analysis of a six-axis force/torque sensor with overload protection for polishing robot.” 2016 23rd International Conference on Mechatronics and Machine Vision in Practice (M2VIP) Nov.2016. pp 28-30
[3]Aleander Kuss, Manuel Drust and Alexander Verl, "Detection of workpiece shape deviations for tool path adaptation in robotic deburring systems." 49th CIRP Conference on Manufacturing Systems CIRP-CMS. 2016. pp 545-550
[4]Shin-yo MUTO, Ken-ichiro SHIMOKURA. "Teaching and Control of Robot Contour-Tracking Using Contact Point Detection, " IEEE International Conference on Robotics and Automation May.1994. pp 8-13

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