大型复杂结构零件在位测量规划研究  

Research on In-situ Measurement Planning of Large Complex Structural Parts

作　　者：张伟辰 孙玉文[1] ZHANG Weichen;SUN Yuwen(School of Mechanical Engineering,Dalian University of Technology,Dalian 116024,China)

机构地区：[1]大连理工大学机械工程学院,辽宁大连116024

出　　处：《机械工程师》2020年第9期25-28,共4页Mechanical Engineer

摘　　要：在位测量技术被广泛地应用在大型复杂结构零件的精度检测任务中,其测量轨迹的规划问题是实现在位测量的难点,直接影响测量的可行性及效率。文中提出了一种基于启发式算法的新型测量轨迹规划方法。该方法以遗传算法和模拟退火算法构建混合框架,并引入了新的基因型,以及与之对应的交叉、变换算子、目标函数等。干涉碰撞约束被同时考虑在测量轨迹规划过程中,从而确保该方法适用于工件结构复杂的情况。在此基础上,开发了在位测量轨迹规划系统,该系统可实现模型读取、显示及交互等操作。最后进行了仿真验证,证明了该方法可以有效地完成测量轨迹规划,显著提高测量效率。The in-situ measurement technique is widely used in the precision detection tasks of the large and complex structural feature parts and the measurement trajectory planning is an essential problem for in-situ measurement technique,which directly influences the feasibility and the efficiency of the measurement.This paper proposes a new measurement trajectory planning algorithm based on heuristic algorithm.A hybrid framework of genetic algorithm and simulated annealing algorithm is selected to create a new genotype,as well as corresponding crossover,transformation operator,objective function,etc.The limit of interference is considered during the planning to ensure the applicability of proposed method for the workpiece with the complex structure.An in-situ measurement trajectory planning system is developed to implement operations such as model reading,display,and interaction.Finally,simulation verification is carried out,and the result proves that the algorithm can effectively complete the measurement trajectory planning operation,greatly improving the measurement efficiency.

关 键 词：测量 轨迹规划 CAIP OMV 

分 类 号：TH161.1[机械工程—机械制造及自动化]