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

doi:10.3901/JME.2022.21.274

Abstract

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

CLC Number:

TH113

LEI Sheng, MAO Kuanmin, TIAN Wei, KONG Delong. Parameter Identification and Application of Virtual Material Model of Bolt Joint Based on Model Updating Method[J]. Journal of Mechanical Engineering, 2022, 58(21): 274-284.

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