An Improved Thermal Performance Modeling for High-speed Spindle of Machine Tool Based on Thermal Contact Resistance Analysis

Abstract

The distribution of the temperature field has a great influence on structural performance, thermal deformation, thermal error compensation. To improve the prediction accuracy of the temperature distribution of the spindle system, a comprehensive model considering the contact thermal resistance (TCR) of the interfaces was established to analyze the thermal performance of high-speed spindle system in the present work. An elastoplastic contact model was used to calculate the contacting areas and loads of interfaces, which were employed to establish the contact thermal resistance model of the main interfaces of spindle, such as bearing rings and tool holders. Basing on the TCR parameters, a Finite Element Analysis (FEA) model was proposed to analyze the temperature distribution of the spindle system. And a temperature test experiment was set up to verify the accuracy of the FEA model. The results show that the relative error of representative test points was all less than 5%, which means the established model can appropriately reflect the temperature field distribution of the spindle.

Prediction of thermal errors in a motorized spindle in CNC machine tools by applying loads based on heat flux

“…5 Fang and Xiang incorporated finite element analysis with deep learning and convolutional neural networks to model and predict the thermal errors of a motorized spindle under complex conditions. 6 Naumann et al proposed a tailored implicit-explicit multi-rate, high-order time-stepping method for real-time and accurate simulation of transient thermal deformation of the finite element model of machine tools. 7 Liu et al used ANSYS to establish a finite element model of a spindle and studied the temperature, thermal deformation, and rotational accuracy at different rotational speeds.…”