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Computer Vision Tool-Setting System of Numerical Control Machine Tool

机译:数控机床的计算机视觉工具设置系统

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摘要

An automatic tool-setting and workpiece online detecting system was proposed to study the key technologies of next-generation intelligent vision computerized numerical control (CNC) machines. A computer vision automatic tool-setting system for a CNC machine was set up on the basis of the vision tool-setting principle. A rapid vision calibration method based on the position feedback from the CNC machine was proposed on the basis of the theory of traditional vision system calibration. The coordinate mapping relationship of the image and the CNC machine, the tool-setting mark point on the workpiece, and the tool tip were calibrated. The vision system performance testing and system calibration experiments were performed. Experimental results indicated that the time consumption was 128 ms in image processing. The precision of tool setting and measuring was less than 1 μm. The workpiece positioning and processing online detection function of the system can completely meet the requirements of visual CNC machine application, and the system has wide application prospects.
机译:提出了一种自动刀具设置和工件在线检测系统,研究下一代智能视觉计算机化数控(CNC)机器的关键技术。基于视觉刀具设置原理设置了CNC机器的计算机视觉自动刀具设置系统。基于传统视觉系统校准理论,提出了一种基于CNC机器的位置反馈的快速视觉校准方法。校准图像和数控机床的坐标映射关系,工件上的工具设定标记点和刀尖被校准。执行视觉系统性能测试和系统校准实验。实验结果表明,图像处理中的时间消耗为128毫秒。刀具设置和测量的精度小于1μm。工件定位和处理系统的在线检测功能可以完全满足Visual CNC机器应用的要求,系统具有广泛的应用前景。

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