Joint interface characterization method using frequency response measurements on assembled structures only: theoretical development and experimental validation on a workholding fixture for machining

A computation model based on inverse receptance coupling method is presented in this paper aiming for obtaining the joint interface’s stiffness and damping properties using frequency response functions measured on assembled structures only. In the model, it is emphasized that the joint stiffness and damping should be modeled with frequency dependency. The model’s validity is checked both through finite element (FE) simulation and experimental analyses. In the FE simulation example, the computation model gives more accurate results with noise-free data. In the experimental example, where noise in the data is unavoidable, the computation model is explored further for its applicability in the real industrial environment. Results from applications of the computational model show that it is even capable of obtaining the joint interface stiffness and damping values over the structure’s resonance frequency. A viable process of predicting behaviors of workpiece with receptance coupling method through identifying the joint interface properties is presented in the end of the paper. The applicability of this computation model and the factors that influence the accuracy of the model are discussed in the end of the paper.

[1]  A. Nobari,et al.  Identification of a nonlinear joint in an elastic structure using optimum equivalent linear frequency response function , 2012 .

[2]  Morteza Sadeghi,et al.  Model Updating of Complex Assembly Structures Based on Substructures-Joint Parameters , 2012 .

[3]  Robert D. Corsaro,et al.  Sound and vibration damping with polymers , 1990 .

[4]  Luigi Garibaldi,et al.  Viscoelastic Material Damping Technology , 1996 .

[5]  John S. Agapiou,et al.  Metal Cutting Theory and Practice , 1996 .

[6]  Miha Boltežar,et al.  Identification of the dynamic properties of joints using frequency response functions , 2008 .

[7]  S. S. Sattinger Direct Method for Measuring the Dynamic Shear Properties of Damping Polymers , 1990 .

[8]  Y. Ren,et al.  Identification of joint properties of a structure using FRF data , 1995 .

[9]  J. H. Wang,et al.  Identification of parameters of structural joints by use of noise-contaminated FRFs , 1990 .

[10]  Youn-sik Park,et al.  Joint structural parameter identification using a subset of frequency response function measurements , 1993 .

[11]  Simon S. Park,et al.  Joint identification of modular tools using a novel receptance coupling method , 2008 .

[12]  Dong Wang,et al.  Joint dynamic properties identification with partially measured frequency response function , 2012 .

[13]  R. Schaller Metal matrix composites, a smart choice for high damping materials , 2003 .

[14]  J.-S. Tsai,et al.  The identification of dynamic characteristics of a single bolt joint , 1988 .

[15]  D. Chung,et al.  Use of submicron diameter carbon filaments for reinforcement between continuous carbon fiber layers in a polymer-matrix composite , 1995 .

[16]  Amir Rashid On passive and active control of machining system dynamics : analysis and implementation , 2005 .

[17]  Yusuf Altintas,et al.  Receptance coupling for end mills , 2003 .

[18]  Lothar Gaul,et al.  Modeling the dynamics of mechanical joints , 2011 .