圆锥体全局角度尺寸评定方法  

Evaluation Method of Cone's Global Angular Size

作　　者：赵新宇 赵则祥[2] 李彬 任东旭 席建普 ZHAO Xinyu;ZHAO Zexiang;LI Bin;REN Dongxu;XI Jianpu(School of Computer Science,Zhongyuan University of Technology,Zhengzhou,Henan 450007,China;School of Mechatronics Engineering,Zhongyuan University of Technology,Zhengzhou,Henan 450007,China;Key Laboratory of Optical Sensing and Testing Technology for Mechanical Industry,Zhengzhou,Henan 450007,China)

机构地区：[1]中原工学院计算机学院,河南郑州450007 [2]中原工学院机电学院,河南郑州450007 [3]机械工业光学传感与测试技术重点实验室,河南郑州450007

出　　处：《计量学报》2024年第3期455-464,共10页Acta Metrologica Sinica

基　　金：国家自然科学基金(51975598)。

摘　　要：提出了基于圆周轮廓提取方案的圆锥全局角度尺寸的评定方法,建立了圆锥最小二乘全局角度尺寸和最大最小全局角度尺寸的评定模型。基于所建立的评定模型,给出了圆锥全局角度尺寸评定的飞蛾扑火优化算法(MFO)的流程图,并编制了圆锥全局角度尺寸评定及最小二乘圆锥面、最大最小圆锥面可视化程序。采用所编制的程序,对4个圆锥仿真试样进行了最小二乘全局角度尺寸和最大最小全局角度尺寸评定,对其不同评定方法、不同优化初始参数和不同优化方法得到的全局评定结果进行了比较。用乌鸦搜索算法、人工生态优化算法、平衡优化器算法和粒子群优化算法对1个试样的最大最小全局角度尺寸进行了评定,并与MFO的评定结果进行了比较。除了优化初始值对评定结果有影响外,搜索区间、种群数和最大迭代次数对评定结果均有影响,但其规律性不强。总体上讲,MFO的评定结果优于其他4种优化方法的评定结果。The evaluation methods of cone's global angular sizes were promoted based on the roundness profile extraction strategy,and the evaluation models of the least square global angular size and the minimax global angular size of cone were built.Based on the established evaluation model,the flowchart of the moth-flame optimization algorithm for evaluation of cone's global angular sizes were given.The least square and minimax global angular sizes of four cone simulated samples were evaluated by using the developed program,and their evaluation results and optimization characteristics values obtained based on different evaluation methods,different optimization initial values and different optimization algorithms were compared.The minimax global angular sizes of one sample were evaluated using crow search algorithm,artificial ecosystem-based optimization,equilibrium optimizer and particle swarm optimization,and their results were compared with those of MFO.In addition to the influence of optimization initial values,the evaluation results were influenced by the search interval,the population number and the maximum number of iterations,but their influence regularities were not strong.In general,the results evaluated by MFO are better than those evaluated by the other four optimization methods.

关 键 词：几何量计量 圆锥 最小二乘全局角度尺寸 最大最小全局角度尺寸 飞蛾扑火优化算法 

分 类 号：TB92[一般工业技术—计量学]