摘要
数控机床逐渐向高精度、高速度、精密化、智能化方向发展。机床的精度直接影响了工件的加工精度。以测量加工中心主轴系统的温度场和热误差数据为基础,采用五点法测量了加工中心主轴系统的温度场和热误差数据,用偏最小二乘回归方法建立了两者的多元线性回归模型,并对各个测温点的温度变化与主轴热误差之间的量化关系进行了定性研究。经研究分析,该模型具有较强的预测能力和较为理想的精度,可以满足加工中心热误差实时补偿的需要,也可作为机床设计和制造的参考依据。
Numerical control machine tools develop gradually toward high-precision, high-speed, precision and intelligent direction. Precision of machine tools has a direct impact on machining accuracy of the workpiece. Based on the measured datas of the temperature field and thermal error of the machining center spindle system, the temperature field and thermal error of the spindle of processing center have been measured by five-spot method. A linear regression model between the temperature changes and thermal error for the spindle has been built up by partial least-squares regression method, and by studying the quantitative relationship between the temperature changes at each point and the spindle thermal error. By computation and analysis, this model is provided with good forecast ability and enough precision and this model meets need of real-time compensation. It can also be used as the reference of design and manufacture of machine tools.
出处
《机械》
2009年第1期31-33,共3页
Machinery
关键词
偏最小二乘回归法
热误差
多元线性回归
partial least-squares regression method
thermal error
multiple linear regression
