摘要
圆柱体零件的几何精度直接影响到机械设备的总体性能,而圆柱度误差是圆柱体零件的几何误差之一,对圆柱度误差进行精确测量和评估十分重要。针对最小区域圆柱度误差评定能否达到全局最优的问题,提出了一种基于新型元启发式海鸥算法(SOA)的圆柱度误差评定方法。首先,对圆柱体轮廓要素的提取进行了阐述,并建立了基于最小区域法的圆柱度误差评定模型;然后,介绍了海鸥优化算法中海鸥的位置更新原理、算法的优化准则和算法流程;最后,用Talyrond 585LT圆柱度仪提取了6个圆柱零件的轮廓数据,并进行了评定,通过对比不同种群数的优化结果,找到了最佳种群数,同时将其所得结果与采用遗传算法(GA)所得结果进行了对比。研究结果表明:种群数的选择对海鸥算法的优化结果影响较大,在种群数为30时能达到最优解,其精度比遗传算法高,其运行时间随着种群数的增加而增加。海鸥算法优化过程稳定,在评定最小区域圆柱度误差(MZC)方面有较好的适应性。
The geometric accuracy of cylindrical parts directly affects the overall performance of mechanical equipment.Cylindricity error is one of the geometric errors of cylindrical parts.It is very important to measure and evaluate cylindricity error accurately.Aiming at the problem of whether the minimum zone cylindricity error evaluation can reach the global optimum,a new meta-heuristic seagull optimization algorithm(SOA)was proposed for the minimum zone cylindricity error evaluation.Firstly,the extraction of cylindrical contour elements was described,and a cylindricity error evaluation model based on the minimum zone method was established.Then,the principle of seagull's position update in the SOA,the optimization criterion of the algorithm and the algorithm flow were introduced.Finally,the circumference profile data of six cylindrical sample parts were extracted from the Talyrond 585LT cylindricity measuring instrument,and the minimum zone cylindricity error was evaluated by SOA,by comparing the optimization results of the SOA for different population sizes,the optimal population size was found,meanwhile the results were compared with the genetic algorithm(GA).The results indicate that the choice of population size has a large impact on the optimization results of the seagull algorithm,which achieves the optimal solution at a population size of 30,its accuracy is higher than that of the genetic algorithm,and its running time increases with the increase in population size.The optimization process of the seagull algorithm is stable and has good adaptability in the evaluation of the minimum zone cylindricity error.
作者
吴天昊
赵则祥
王帅飞
史鑫朝
WU Tian-hao;ZHAO Ze-xiang;WANG Shuai-fei;SHI Xin-chao(School of Mechatronics Engineering,Zhongyuan University of Technology,Zhengzhou 451191,China)
出处
《机电工程》
CAS
北大核心
2023年第3期422-428,共7页
Journal of Mechanical & Electrical Engineering
基金
国家自然科学基金资助项目(51975598,51475485)。
关键词
圆柱度测量仪
海鸥算法
种群数选择
位置更新原理
算法优化准则
最小区域法圆柱度误差
最小区域法
cylindricity measuring instrument
seagull optimization algorithm(SOA)
choice of population size
principle of location updating
optimization criteria of algorithm
minimum zone cylindricity error(MZC)
minimum zone method
作者简介
吴天昊(1998-),男,河南商丘人,硕士研究生,主要从事精密测量技术与仪器、优化算法方面的研究。E-mail:9720233769@qq.com。
