摘要
通过对硬质合金刀具前刀面月牙洼磨损图像特征的分析,设计了识别和检测磨损的算法,并开发了相关软件。经过实例检验,根据二维特征检测刀具磨损的最大误差在7.4%之内,可满足一般工程要求。本方法具有自动化程度高、判决速度快等优点,并对刀具磨损三维形态的识别和检测提供了一定的基础。
Through the analysis of image characteristic of crater wear in kentanium tool front face, arithmetic monitoring wear is designed, correlative software is exploited. The maximal error is 7.4% in terms of two-dimension characteristic monitoring tool wear and the method can meet the need of generic project by the example. The method has high automation degree and quick judgment speed and offers definite foundation of further processing three dimensions state of tool wear.
出处
《科技信息》
2008年第5期46-47,共2页
Science & Technology Information
