Dynamics prediction of spindle system using joint models of spindle tool holder and bearings

Abstract

Spindle system design requires the simulation of dynamic characteristics with consideration of joint characteristics. A spindle system modelling method using a spindle tool holder and bearing joints was presented for the prediction of dynamic behaviours. A substructure receptance coupling method was used to model the joints of the spindle tool holder and bearings, and the identification method of joint parameters was developed. The parameters of spindle tool holder joint were identified from the experimental platform based on the distributed model, and the parameters of the bearing joints were obtained by the Hertzian contact. Timoshenko beams were used to describe the spindle system components. The modal and harmonic response analysis was performed to predict the dynamic characteristics of the spindle system. The prediction results of natural frequency and the dynamic response were validated by impact testing. The model showed a good match for predicting the dynamic characteristics of the spindle system. The presented modelling method is useful in the performance evaluation of spindle system.