作者：贾冰慧, 全燕鸣, 朱正伟

作者单位：华南理工大学机械与汽车工程学院, 广东广州 510640

关键词：精密工程测量; 在机检测; 邻域搜索; 刀具磨损; 机器视觉;

摘要：

针对数控机床加工环境,就如何快速定量检测刀具磨损状况的问题,开发在机环境下的机器视觉检测装置。根据图像灰度分布区域差异性特点,提出基于8连通邻域搜索的交互式刀具磨损提取算法。实验结果表明:该检测方案误差可控制在5%范围内,能够满足机械加工的要求。

Machine vision system for on-machine tool wear detection

JIA Bing-hui, QUAN Yan-ming, ZHU Zheng-wei

School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou 510640, China

Abstract: Considering the environment of CNC machining, the authors proposed a method for detecting tool wear condition rapidly and quantitatively in this paper. Firstly,considering the CNC machine tools processing environment,they designed an intelligent visual detection device in the machine environment. Then, according to the characteristics of the image gray distribution of regional differences,an interactive algorithm based on 8 connectivity neighborhood search of tool wears was proposed. Experimental results show the program error is in the range of 5%. The result indicates this method is able to meet the requirements of the machining.

Keywords: precise engineering surveying; on-machine detection; neighborhood search; tools wear; machine vision

2014, 40(6): 60-63  收稿日期: 2014-1-16;收到修改稿日期: 2014-3-23

基金项目: 广东省科技攻关计划项目(2009A010200002)

作者简介: 贾冰慧(1988-),女,陕西宝鸡市人,硕士研究生,专业方向为机器视觉应用与检测技术研究。

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