Dynamic characteristic analysis of whole machine tools based on Kriging model

被引:0
|
作者
高相胜 [1 ,2 ]
张以都 [1 ,2 ]
郜浩冬 [1 ,2 ]
张洪伟 [3 ]
机构
[1] State Key Laboratory of Virtual Reality Technology and Systems (Beihang University)
[2] School of Mechanical Engineering and Automation,Beihang University
[3] School of Mechanical Engineering,Beijing Institute of Petrochemical Technology
基金
中国国家自然科学基金;
关键词
machine tool; dynamic characteristic; interface; configuration; Kriging model;
D O I
暂无
中图分类号
TG502 [机床设计、制造与维修];
学科分类号
摘要
In order to study the variation of machine tools’dynamic characteristics in the manufacturing space,a Kriging approximate model is proposed.Finite element method(FEM)is employed on the platform of ANSYS to establish finite element(FE)model with the dynamic characteristic of combined interface for a milling machine,which is newly designed for producing aero engine blades by a certain enterprise group in China.The stiffness and damping of combined interfaces are adjusted by using adaptive simulated annealing algorithm with the optimizing software of iSIGHT in the process of FE model update according to experimental modal analysis(EMA)results.The Kriging approximate model is established according to the finite element analysis results utilizing orthogonal design samples by taking into account of the range of configuration parameters.On the basis of the Kriging approximate model,the response surfaces between key response parameter and configuration parameters are obtained.The results indicate that configuration parameters have great effects on dynamic characteristics of machine tools,and the Kriging approximate model is an effective and rapid method for estimating dynamic characteristics of machine tools in the manufacturing space.
引用
收藏
页码:3094 / 3102
页数:9
相关论文
共 50 条
  • [21] Uncertain stochastic vibration characteristic analysis of composite laminated rectangular plate based on improved kriging model
    Chen, Yugeng
    Zhong, Rui
    Wang, Qingshan
    Chen, Liming
    Qin, Bin
    COMPOSITE STRUCTURES, 2024, 340
  • [22] Research on Dynamic Characteristics Analysis of The Whole Grinding Machine Tool Based on FEM
    Guan, Peng
    Tao, Yu
    Wang, Wei
    Wang, Wanshan
    ADVANCED MANUFACTURING TECHNOLOGY, PTS 1-4, 2012, 472-475 : 2874 - 2878
  • [23] Dynamic Characteristic Analysis of CNC Machine Tool Frame
    Sun, Lei
    Wang, Minghai
    Li, Xiaopeng
    Sun, Yue
    PRODUCT DESIGN AND MANUFACTURING, 2011, 338 : 491 - 494
  • [24] Calculation and analysis of nonlinear dynamic model based on the characteristic line method
    Li, J.
    Jiang, B. A.
    Ning, Q. L.
    Xue, S.
    7TH GLOBAL CONFERENCE ON MATERIALS SCIENCE AND ENGINEERING (CMSE2018), 2019, 474
  • [25] HVDC dynamic characteristic analysis based on sampled-data model
    Yang, Xiu
    Chen, Chen
    Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, 2005, 25 (10): : 7 - 11
  • [26] Nonlinear characteristic analysis of gear rattle based on refined dynamic model
    Dong Guo
    Qinfeng Ning
    Shuaishuai Ge
    Yawen Wang
    Yi Zhou
    Yi Zhou
    Xiaohui Shi
    Nonlinear Dynamics, 2022, 110 : 3109 - 3133
  • [27] Research on Dynamic Integrated Energy Efficiency Model of CNC Machine Tools Based on DEVS
    Zhu, Shuo
    Zhang, Hua
    Jiang, Zhigang
    Gong, Qingshan
    2018 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), 2018, : 1380 - 1385
  • [28] Nonlinear characteristic analysis of gear rattle based on refined dynamic model
    Guo, Dong
    Ning, Qinfeng
    Ge, Shuaishuai
    Wang, Yawen
    Zhou, Yi
    Shi, Xiaohui
    NONLINEAR DYNAMICS, 2022, 110 (04) : 3109 - 3133
  • [29] Interface contact pressure-based virtual gradient material model for the dynamic analysis of the bolted joint in machine tools
    Jingping Liao
    Jianfu Zhang
    Pingfa Feng
    Dingwen Yu
    Zhijun Wu
    Journal of Mechanical Science and Technology, 2016, 30 : 4511 - 4521
  • [30] Interface contact pressure-based virtual gradient material model for the dynamic analysis of the bolted joint in machine tools
    Liao, Jingping
    Zhang, Jianfu
    Feng, Pingfa
    Yu, Dingwen
    Wu, Zhijun
    JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY, 2016, 30 (10) : 4511 - 4521