• CN:11-2187/TH
  • ISSN:0577-6686

机械工程学报 ›› 2022, Vol. 58 ›› Issue (21): 274-284.doi: 10.3901/JME.2022.21.274

• 数字化设计与制造 • 上一篇    下一篇

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基于模型修正的螺栓结合部虚拟材料参数识别及应用

雷声1, 毛宽民2, 田微1, 孔德龙1   

  1. 1 中南民族大学计算机科学学院 武汉 430074;
    2. 华中科技大学机械科学与工程学院 武汉 430072
  • 收稿日期:2021-12-02 修回日期:2022-06-10 出版日期:2022-11-05 发布日期:2022-12-23
  • 通讯作者: 毛宽民(通信作者),男,1964年出生,博士,教授,博士研究生导师。主要研究方向为机床动力学,加工过程中振动分析测试及应用,机床大件的低应力装配。E-mail:kmmao4645@sina.com
  • 作者简介:雷声,男,1988年出生,博士,讲师,硕士研究生导师。主要研究方向为机械结合部及机床动力学,加工过程智能检测与故障诊断,先进制造与智能制造。E-mail:leisheng945@sina.com
  • 基金资助:
    国家自然科学基金(52105135);湖北省自然科学基金(2020CFB174);国家科技支撑计划(2012BAF08B01)和中南民族大学中央高校基本科研业务费专项资金(CZY20027)资助项目。

Parameter Identification and Application of Virtual Material Model of Bolt Joint Based on Model Updating Method

LEI Sheng1, MAO Kuanmin2, TIAN Wei1, KONG Delong1   

  1. 1. School of Computer Science, South-Central University for Nationalities, Wuhan 430074;
    2. School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan 430072
  • Received:2021-12-02 Revised:2022-06-10 Online:2022-11-05 Published:2022-12-23

摘要: 针对螺栓结合部虚拟材料模型建模及参数识别问题,基于结合部显著影响整体结构动力学性能这一特性,提出基于模型修正的虚拟材料动力学模型参数识别方法。针对参数识别中修正方程的病态问题,根据虚拟材料相关参数及结构各阶模态频率相互之间的影响度,构造修正方程的左右加权函数以减轻其病态程度,并通过仿真算例验证参数识别方法的有效性。探讨平板螺栓连接及哑铃状结构用于虚拟材料参数识别的有效性及抗噪性,加工哑铃结构的实验零件,辨识螺栓结合部虚拟材料模型的参数。基于机床螺栓结构的常用工况,建立虚拟材料模型参数库,并在CKX5680数控机床上验证参数库的有效性。结果表明:采用模型修正技术可以准确地识别无噪声时的虚拟材料参数;采用哑铃结构实验试件在有噪声情况下,螺栓结合部虚拟材料参数识别误差小于8%;采用虚拟材料模型模拟螺栓结合部的建模误差小于5.6%。

关键词: 螺栓结合部, 虚拟材料, 动力学建模, 参数识别, 模型修正

Abstract: To solve the modeling and parameter identification problem about the virtual material model of bolt joint, based on the fact that joint significantly affect the dynamic property of the whole system, a parameter identification method based on model updating is proposed. The left and right weighting functions, which constructed by considered the influence of virtual material parameters and structural modal frequency, are proposed to reduce the ill-condition of the modified equation. Accuracy of the proposed method is verified by numerical example. The table bolted connection structure and dumbbell structure is discussed for bolt parameters identification, and the dumbbell test structure is designed to identify the virtual material parameters. Finally, based on the common working conditions of bolt joints on machine tools, the virtual material model parameter database is established, and the validity of the parameter database is verified on the CKX5680 CNC machine tool. The results show that the model updating method can accurately identify virtual material parameters in the absence of noise. In the case of testing noise, the parameter identification error for dumbbell structure is less than 8%. The modeling error of virtual material model for bolt joint is less than 5.6%.

Key words: bolt joint, virtual material, dynamic modeling, parameter identification, model updating

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