Dynamic Parameter Identification and Experimental Verification for Bolt Fixed Joint of Machine Tool
-
摘要: 针对各向同性虚拟材料模型不能准确表征螺栓固定结合面法向和切向的性能差异的问题，以机床立柱-床身螺栓固定结合面为研究对象，采用横观各向同性虚拟材料对机床螺栓固定结合面进行动力学建模，通过试验设计和有限元分析构建机床螺栓固定结合面的径向基函数神经网络模型。结合模态试验结果构建寻优目标函数，并利用粒子群优化算法进行求解，识别出横观各向同性虚拟材料弹性常数。结果表明：实验模型的理论模态与实验模态前六阶振型基本一致，固有频率的误差小于5.1%，说明了该方法的有效性，为机床螺栓固定结合面参数识别提供了一种新方法。
-
关键词:
- 机床螺栓固定结合面 /
- 横观各向同性虚拟材料 /
- 径向基函数神经网络 /
- 粒子群优化算法 /
Abstract: Aiming at the problem that isotropic virtual material model can't accurately characterize the difference of normal and tangential performances of bolt-fixed joint surface, in this paper, the dynamic model of bolt-fixed joint surface of machine tool is built with transversely isotropic virtual material, and based on the experimental design and finite element analysis; and a radial basis function (RBF) neural network model of bolt-fixed joint surface of machine tool is made. Based on the modal test results, the optimization objective function is constructed and solved by particle swarm optimization (PSO), the elastic constants of transversely isotropic virtual materials are identified. The results show that the first six vibration modes of the theoretical model basically coincide with the experimental modes respectively, and the error of natural frequency is less than 5.1%. This study shows the effectiveness of the method, and provides a new method for identifying parameters of the fixed joint surface of machine tool bolts. -
表 1 振动测试系统
名称 型号 力脉冲锤 LC-04A 加速度传感器 AC586 数据采集器 AZ308S 信号调理仪器 AZ804-A 振动及动态信号采集分析系统 CRASV7.2 
下载: 导出CSV
表 3 横观各向同性虚拟材料参数范围
参数 范围 Ex/GPa 3~30 Ez/GPa 5~60 Gxz/GPa 0.4~4 Vzx 0 Vxy 0 ρ/(kg·m-3) 735~7 350
下载: 导出CSV
表 5 实验模态频率与有限元分析频率对比
频率阶次 有限元频率/Hz 实验模态频率/Hz 误差/% 1 56.77 59.77 -5.02 2 73.56 71.83 2.41 3 113.25 116.18 -2.52 4 186.09 193.14 -3.65 5 219.71 223.95 -1.89 6 248.69 260.87 -4.67
下载: 导出CSV
-
[1] 张学良.机械结合面动态特性及应用[M].北京:中国科学技术出版社, 2002Zhang X L. Dynamic performance and application of mechanical joint surface[M]. Beijing:Science and Technology of China Press, 2002(in Chinese) [2] 田红亮, 赵春华, 朱大林, 等.金属材料结合部法切向刚度修正与实验验证[J].农业机械学报, 2012, 43(6):207-214 http://d.old.wanfangdata.com.cn/Periodical/nyjxxb201206037Tian H L, Zhao C H, Zhu D L, et al. Modification of normal and tangential stiffness for joint interface with metallic material and experimental validation[J]. Transactions of the Chinese Society for Agricultural Machinery, 2012, 43(6):207-214(in Chinese) http://d.old.wanfangdata.com.cn/Periodical/nyjxxb201206037 [3] 汪中厚, 袁可可, 李刚.基于响应面法的滑动结合面动态特性参数优化识别[J].中国机械工程, 2016, 27(5):622-626 http://d.old.wanfangdata.com.cn/Periodical/zgjxgc201605009Wang Z H, Yuan K K, Li G. Optimization identification for dynamic characteristic parameters of sliding joints based on response surface methodology[J]. China Mechanical Engineering, 2016, 27(5):622-626(in Chinese) http://d.old.wanfangdata.com.cn/Periodical/zgjxgc201605009 [4] 范世荣, 张学良, 温淑花, 等.基于各向同性虚拟材料的固定结合面修正模型[J].太原科技大学学报, 2017, 38(4):302-306 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=tyzxjjxyxb201704011Fan S R, Zhang X L, Wen S H, et al. The correction model of fixed joint surface based on isotropic virtual material[J]. Journal of Taiyuan University of Science and Technology, 2017, 38(4):302-306(in Chinese) http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=tyzxjjxyxb201704011 [5] 张学良, 范世荣, 温淑花, 等.基于等效横观各向同性虚拟材料的固定结合部建模方法[J].机械工程学报, 2017, 53(15):141-147 http://d.old.wanfangdata.com.cn/Periodical/jxgcxb201715016Zhang X L, Fan S R, Wen S H, et al. Modeling method of fixed joint interfaces based on equivalent transversely isotropic virtual material[J]. Journal of Mechanical Engineering, 2017, 53(15):141-147(in Chinese) http://d.old.wanfangdata.com.cn/Periodical/jxgcxb201715016 [6] Zhai C P, Hanaor D, Proust G, et al. Interfacial electro-mechanical behaviour at rough surfaces[J]. Extreme Mechanics Letters, 2016, 9:422-429 http://cn.bing.com/academic/profile?id=9117cc1cbcc69ece6bd56b7dc118043e&encoded=0&v=paper_preview&mkt=zh-cn [7] 田红亮, 刘芙蓉, 方子帆, 等.引入各向同性虚拟材料的固定结合部模型[J].振动工程学报, 2013, 26(4):561-573 http://d.old.wanfangdata.com.cn/Periodical/zdgcxb201304013Tian H L, Liu F R, Fang Z F, et al. Immovable joint surface's model using isotropic virtual material[J]. Journal of Vibration Engineering, 2013, 26(4):561-573(in Chinese) http://d.old.wanfangdata.com.cn/Periodical/zdgcxb201304013 [8] 陈建桥.复合材料力学概论[M].北京:科学出版社, 2006Chen J Q. Introduction of composite materials mechanics[M]. Beijing:Science Press, 2006(in Chinese) [9] 孙清超, 黄庆涛, 孙志勇, 等.基于梯度虚拟材料的栓接结合部连接参数表征[J].机械工程学报, 2018, 54(11):102-109 http://d.old.wanfangdata.com.cn/Periodical/jxgcxb201811010Sun Q C, Huang Q T, Sun Z Y, et al. Interface parameter identification of bolted connections based on gradient virtual material[J]. Journal of Mechanical Engineering, 2018, 54(11):102-109(in Chinese) http://d.old.wanfangdata.com.cn/Periodical/jxgcxb201811010 [10] 赖宇阳, 姜欣, 方立桥, 等.Isight参数优化理论与实例详解[M].北京:北京航空航天大学出版社, 2012Lai Y Y, Jiang X, Fang L Q, et al. Detailed explanation of Isight parameter optimization theory and examples[M]. Beijing:Beihang University Press, 2012(in Chinese) [11] Park J S. Optimal Latin-hypercube designs for computer experiments[J]. Journal of Statistical Planning and Inference, 1994, 39(1):95-111 doi: 10.1016-0378-3758(94)90115-5/ [12] 夏玲玲, 袁军堂, 汪振华.KVC1050N立式加工中心有限元分析与模态试验[J].机械设计与制造, 2012, (1):18-20 http://d.old.wanfangdata.com.cn/Periodical/jxsjyzz201201007Xia L L, Yuan J T, Wang Z H. Finite element analysis and modal test of a vertical machining center of KVC1050N type[J]. Machinery Design & Manufacture, 2012, (1):18-20(in Chinese) http://d.old.wanfangdata.com.cn/Periodical/jxsjyzz201201007 [13] 齐威.ABAQUS 6.14超级学习手册[M].北京:人民邮电出版社, 2016Qi W. The super learning manual of ABAQUS 6.14[M]. Beijing:Posts and Telecommunications Press, 2016(in Chinese) [14] 牛文铁, 田建伟, 王俊强.基于iSIGHT的机床整机结构方案设计与集成优化[J].天津大学学报, 2016, 49(2):120-127 http://d.old.wanfangdata.com.cn/Periodical/tianjdxxb201602004Niu W T, Tian J W, Wang J Q. Schematic design and integrated optimization of machine tool based on iSIGHT[J]. Journal of Tianjin University, 2016, 49(2):120-127(in Chinese) http://d.old.wanfangdata.com.cn/Periodical/tianjdxxb201602004 [15] Ding S W, Jiang H Q, Li J J, et al. Optimization of well placement by combination of a modified particle swarm optimization algorithm and quality map method[J]. Computational Geoscience, 2014, 18(5):747-762 http://cn.bing.com/academic/profile?id=a5f216bcaa6099bf4949dc4c453ec309&encoded=0&v=paper_preview&mkt=zh-cn [16] 古文成, 柴宝仁, 滕艳平.基于粒子群优化算法的支持向量机研究[J].北京理工大学学报, 2014, 34(7):705-709 http://d.old.wanfangdata.com.cn/Periodical/kzllyyy200605014Gu W C, Chai B R, Teng Y P. Research on support vector machine based on particle swarm optiminzation[J]. Transactions of Beijing Institute of Technology, 2014, 34(7):705-709(in Chinese) http://d.old.wanfangdata.com.cn/Periodical/kzllyyy200605014 -
点击查看大图
图(10) / 表(5)
计量
- 文章访问数: 217
- HTML全文浏览量: 117
- PDF下载量: 22
- 被引次数: 0
