CAD Model-Based Intelligent Inspection Planning for Coordinate Measuring Machines
CAD Model-Based Intelligent Inspection Planning for Coordinate Measuring Machines作者机构：School of Mechanical ＆ Automotive Engineering Hefei University of Technology Hefei 230009 China Hefei Winster Technology Ltd. Hefei 230088 China
出 版 物：《Chinese Journal of Mechanical Engineering》 (中国机械工程学报（英文版）)
年 卷 期：2011年第24卷第4期
页 面：567-583页
核心收录：
学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 08[工学] 080401[工学-精密仪器及机械] 0804[工学-仪器科学与技术] 081201[工学-计算机系统结构] 081102[工学-检测技术与自动化装置] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）]
主 题：coordinate measuring machines (CMM) sampling strategy adaptive subdivision path planning collision detection collision avoidance bounding box
摘 要：As the market competition among enterprises grows intensively and the demand for high quality products increases rapidly, product quality inspection and control has become one of the most important issues of manufacturing, and improving the efficiency and accuracy of inspection is also one of problems which enterprises must solve. It is particularly important to establish rational inspection planning for parts before inspecting product quality correctly. The traditional inspection methods have been difficult to satisfy the requirements on the speed and accuracy of modern manufacturing, so CAD-based computer-aided inspection planning （CAIP） system with the coordinate measuring machines （CMM） came into being. In this paper, an algorithm for adaptive sampling and collision-free inspection path generation is proposed, aiming at the CAD model-based inspection planning for coordinate measuring machines （CMM）. Firstly, using the method of step adaptive subdivision and iteration , the sampling points for the specified number with even distribution will be generated automatically. Then, it generates the initial path by planning the inspection sequence of measurement points according to the values of each point＇s weight sum of parameters, and detects collision by constructing section lines between the probe swept-volume surfaces and the part surfaces, with axis-aligned bounding box （AABB） filtering to improve the detection efficiency. For collided path segments, it implements collision avoidance firstly aiming at the possible outer-circle features, and then at other collisions, for which the obstacle-avoiding movements are planned with the heuristic rules, and combined with a designed expanded AABB to set the obstacle-avoiding points. The computer experimental results show that the presented algorithm can plan sampling points＇ locations with strong adaptability for different complexity of general surfaces, and generate efficient optimum path in a short time and avoid collisio
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