薄片零件尺寸机器视觉检测系统中的线扫描步长自适应优化研究  

Research on line scanning step adaptive optimization in dimensional inspection system of thin sheet part based on machine vision

作　　者：伍济钢[1,2] 宾鸿赞[2] 

机构地区：[1]湖南科技大学机械设备健康维护湖南省重点实验室,湖南湘潭411201 [2]华中科技大学机械科学与工程学院,湖北武汉430074

出　　处：《机械》2010年第1期71-74,共4页Machinery

摘　　要：借鉴自由曲面逆向工程中扫描步长自适应优化的思想,提出了基于CAD信息的线扫描步长自适应优化方法。基于曲线拟合容差开发了圆弧图元线扫描步长自适应优化算法;基于等线段长开发了直线图元线扫描步长自适应优化算法;基于图元间的拓扑结构归纳了区域线扫描步长自适应选取准则。用弹性臂薄片零件的尺寸检测实验对基于CAD信息的线扫描步长自适应优化方法的检测精度和扫描数据量进行了分析。实验结果表明,该方法能提高检测系统的检测精度,提高线扫描的扫描效率,减少扫描数据量。CAD information-based line scanning step adaptive optimization method is proposed with the help of the thought of scanning step adaptive optimization in the free-form surface reverse engineering. A line scanning step adaptive optimization algorithm of arc primitive is developed by curve fitting allowance. A line scanning step adaptive optimization algorithm of straight line primitive is developed by equal line segment length. A region line scanning step adaptive selection criterion is concluded based on topological structure between primitives. The inspection accuracy and scanning data amount of the method are analyzed by the dimensional inspection experiments of the thin sheet part of the HGA （Head Gimbal Assembly）. The experimental results indicate that the method can improve the accuracy of the inspection system, advance the efficiency of line scanning, decrease scanning data amount.

关 键 词：薄片零件 机器视觉 尺寸检测系统 线扫描步长 自适应优化 

分 类 号：TH161[机械工程—机械制造及自动化]