摘要
为了构建一种适应变转速工况的数控机床主轴热误差高精度预测模型,根据研究需要,在数控机床主轴及相关部位布置9个温度传感器,并设计主轴转速分别为0、2000、4000、6000、8000 r/min的空转实验,在不同转速下采集9个温度测点和主轴热误差的实验数据,采用单因素多元方差分析、主成分分析、多元二项式回归等方法,构建数控机床主轴热误差的预测模型,并进行预测实践验证。结果表明,转速对热误差的影响是显著的,综合考虑测点温度、转速等因素构建热误差预测模型,才能使模型具有较强的适应性。从预测结果来看,所建模型较为可靠,可作为变转速下热误差的预测方法。
This study aims to construct a high-precision prediction model for thermal errors of the spindle of a CNC machine tool under variable speed conditions.According to the research requirements,9 temperature sensors were arranged on the spindle and related parts of the CNC machine tool,and idle running experiments with spindle speeds of 0,2000,4000,6000,and 8000 r/min were designed,which uses olne-way MANOVA,principal component analysis and multivariate binomial regression analysis to construct the prediction model of thermal error for CNC machine tool under variable speeds based on the data of 9 temperature measuring points and the data of thermal error under the different spindle speeds,and performs a predictive analysis.The results show that,the influence of spindle speeds on thermal error is significant,the prediction model of thermal error based on the temperature of measuring points and spindle speeds has strong adaptability;from the prediction results,the model is more reliable and can be used as a prediction method for thermal error under variable speeds.
作者
王娟
吴珊
WANG Juan;WU Shan(Xianyang Polytechnic Institute,Xianyang 712000,Shaanxi,China)
出处
《自动化技术与应用》
2026年第4期53-57,共5页
Techniques of Automation and Applications
基金
咸阳市重点研发计划项目(L2024-ZDYF-ZDYF-GY-0029)。
关键词
热误差
主轴转速
单因素多元方差分析
主成分分析
多元二项式回归
thermal error
spindle speed
one-way manova
principal component analysis
multivariate binomial regression
