The Predictive Model of Thermal Distortion for CNC Machine Spindle

• Main Authors: Qi-Wen Huang, 黃琦文
• Other Authors: Chien-Hung Liu
• Format: Others
• Language: zh-TW
• Published: 2017
• Online Access: http://ndltd.ncl.edu.tw/handle/wus3xt

碩士 === 國立中興大學 === 機械工程學系所 === 106 === This study, we use a system of optical displacement measurement to measure the spindle of the three-dimensional thermal displacement error of the five-axis machine tool and use temperature sensors to monitor the temperature of several points on the machine tool. To establish temperature rise thermal error prediction model of the machine through the multiple linear regression analysis. The displacement measurement system consists of two laser diodes and two photodiodes. The refraction phenomenon has displacement changing on the two photodiodes through the glass-ball lens and then obtains the three-dimensional thermal error signal of the end of the spindle. The measurement method used two sets of displacement measurement system. To measure and record for four hours of spindle and nose headstock at the spindle speed of 6000, 9000, and 12000rpm respectively. The displacement difference between spindle and nose headstock is the mandrel of the actual thermal deformation. We use multiple linear regression methods to analyze and establish the prediction model of thermal deformation of machine base on temperature changing through the displacement and temperature information by MATLAB. The experimental results show that displacement trend of the model is similar to the real situation, and predictive error is less than 2μm at the spindle speed of 11000rpm. The error of the measurement system is less than 1μm, and the standard deviation of the measurement system is less than 0.04μm.