摘要
为分析数控机床直线进给系统的温度场,需要布置一定数量的温度测点来进行温度数据的采集。然而,测点的位置和数目都会对研究结果产生直接影响。为实现准确布置温度测点,文章提出一种基于统计学理论进行改进的Canopy-FCM-GRA温度测点优化模型。以某数控机床X向直线进给轴为例,首先根据测得的实验数据确定预聚类数,然后通过模糊矩阵和灰色关联度系数筛选出相应的温度敏感点,最后基于SVR理论分别建立温度测点优化前和优化后的温度-热误差预测模型,通过比较两个模型精度来验证温度测点优化的有效性。结果表明,温度测点优化效果良好,通过优化后的测温点可准确探究进给系统的热特性。
To analyze the temperature field of the linear feed system of CNC machine tools,it is necessary to arrange a certain number of temperature measurement points for temperature data collection.However,the research results will be directly affected by the location and number of measurement points.To achieve accurate placement of temperature measurement points,an improved Canopy FCM-GRA temperature measurement point optimization model based on statistical theory is proposed in this paper.Taking the X-axis linear feed axis of a certain CNC machine tool as an example,the pre clustering number is first determined based on the measured experimental data,and then the corresponding temperature sensitive points are selected through fuzzy matrix and grey correlation coefficient.Finally,based on SVR theory,temperature thermal error prediction models are established before and after temperature measurement point optimization.The effectiveness of temperature measurement point optimization is verified by comparing the accuracy of the two models.The results show that the optimization effect of temperature measurement points is good,and the optimized temperature measurement points can accurately explore the thermal characteristics of the feed system.
作者
崔展华
杨赫然
孙兴伟
赵泓荀
穆士博
张维锋
CUI Zhanhua;YANG Heran;SUN Xingwei;ZHAO Hongxun;MU Shibo;ZHANG Weifeng(School of Mechanical Engineering,Shenyang University Of Technology,Shenyang 110870,CHN;Key Laboratory of Numerical Control Manufacturing Technology for Complex Curved Surfaces of Liaoning Province,Shenyang 110870,CHN)
出处
《制造技术与机床》
北大核心
2024年第2期147-151,共5页
Manufacturing Technology & Machine Tool
基金
2022年度辽宁省教育厅高等学校基本科研项目面上项目(LJKMZ20220459)
辽宁省应用基础研究计划项目(2022JH2/101300214)。
关键词
直线进给轴
改进算法
温度测点优化
建模精度
linear feed axis
improved algorithm
optimization of temperature measurement points
modeling accuracy
