Fast Steering Mirror Assisted On-machine Detection Technique of Wear Condition of Rotary Tool
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摘要: 在机检测技术可实现刀具在工作状态下的实时检测，有助于及时发现刀具质量问题，并提高检测效率。基于机器视觉技术，本文将快反镜用于辅助工业相机直接拍摄旋转状态下的刀具图像；建立了图像采集系统，研究了快反镜偏转关系模型，并在此基础上开发快反镜控制程序；在获取刀具图像后，基于OpenCV库进行图像处理，获取刀具磨损面积值；将该检测系统应用于工业机器人铣削实验平台上，实验结果验证了该技术的有效性。Abstract: The on-machine detection technique can realize the real-time monitoring of a tool in working state, which is of the significance to identify quality issues of the tool in time and improves the detection efficiency. Based on the machine vision techniques, a fast steering mirror was used to assist industrial camera in capturing clear tool images, and an image acquisition system was established in this paper. A control program was developed by investigating the deflection model for the fast steering mirror. Image processing based on the Open CV library was performed to obtain the tool wear area from the captured clear tool image. In addition, the on-machine detection technique was applied to a milling process with an industrial robot and exhibits great effectiveness.
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Key words:
- machine vision /
- fast steering mirror /
- tool wear /
- on-machine detection /
- image processing
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表 1 图像采集模块的硬件选型
名称 属性及作用 计算机 2 GB以上内存, 配有PCI扩展槽和USB接口 PCI-8554板卡 同时输出软件及硬件触发信号 PCI-6308V模拟输出卡 接收软件触发信号, 输出模拟电压 E-500.00压电控制器 放大模拟电压, 用于驱动压电陶瓷偏摆台 S-330.2SL压电陶瓷偏摆台 输入电压-20~120 V, 分辨率为0.05 μrad, 用于实现快反镜反射镜面的偏转 
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表 2 刀具磨损状态检测结果
刀具状态 快反镜 磨损区域像素个数 磨损区域面积/mm2 静止 - 260 0.375 旋转(n=600 r/min) 无快反镜 图像模糊, 无法计算 无法计算 旋转(n=600 r/min) 有快反镜 278 0.401
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