摘要
飞机结构件常用坐标测量机检测形状特征的加工质量。为了满足飞机结构件需要检测复杂形状特征以及便于拓展形状特征检测范围的迫切需求,研究了独立于形状特征类型的特征定义框架及统一的特征识别算法;提出了检测知识驱动的测量点智能分布方法;设计了结合聚类和改进模拟退火算法的测量方向优化算法;实现了基于自定义特征及检测知识的智能检测规划。该技术已在多个重大航空产品的研制中得到应用,显著提升了飞机结构件检测规划的效率和智能化水平。
Form features of aircraft structural parts are usually inspected by coordinate measuring machines. In order to inspect complex form features of aircraft structural parts and extend the scope of form features which can be inspected, a neutral framework for form feature definition and a generic algorithm for feature recognition based on the framework were studied. Then an intelligent measuring point distribution algorithm driven by inspection knowledge was proposed. Finally an algorithm combining clustering and improved simulated annealing algorithm was designed for optimizing measuring orientations. Thus intelligent inspection planning based on user-defined feature and inspection knowledge was realized. This technique has been applied in the manufacturing process of several major aviation products, and significantly improved the efficiency and intelligent level of aircraft structural part inspection planning.
出处
《图学学报》
CSCD
北大核心
2016年第3期386-393,共8页
Journal of Graphics
关键词
计算机辅助检测规划
特征识别
测量点分布
测量方向优化
computer-aided inspection planning
feature recognition
measuring point distribution
measuring orientation optimization
