机床直线轴温度测点筛选与热误差预测方法
Method of Temperature Measuring Point Screening and Thermal Error Prediction for Feed Axis of Machine Tool
丁强强 1郭世杰 2苏哲 1邹云鹤 1唐术锋2
作者信息
- 1. 内蒙古工业大学机械工程学院,呼和浩特 010051
- 2. 内蒙古工业大学机械工程学院,呼和浩特 010051;内蒙古工业大学内蒙古自治区特殊服役智能机器人重点实验室,呼和浩特 010051
- 折叠
摘要
为揭示数控机床直线进给轴温度场信息与热误差之间的非线性映射关系,提高热误差预测模型效率和精度,提出了基于鹈鹕优化算法(POA)与随机森林(RF)的直线轴热误差预测方法.首先,采用Featts聚类算法将温度测点进行聚类分组,通过Spearman相关性分析计算温度与热误差之间的相关程度及热敏感点;其次,使用POA优化算法对RF模型参数进行寻优,确定RF网络的最佳决策树数量及叶子数等;最后,在三轴铣床加工中心上进行实验验证.结果表明,使用Featts聚类算法与Spearman相关分析方法提高了模型精度,有效避免温度测点间的多重共线性.与传统的BP神经网络及RF网络相比,POA-RF预测网络的均方根误差分别降低了46%和43%.
Abstract
To reveal the nonlinear mapping relationship between the temperature field information of the feed axis of the CNC machine tool and the thermal error,and to improve the efficiency and accuracy of thermal error prediction model,a thermal error prediction method of linear feed axis based on pelican opti-mization algorithm(POA)and random forest(RF)was proposed.First,the Featts clustering algorithm was used to cluster and group the temperature measurement points,Spearman correlation analysis was used to calculate the correlation degree between temperature and thermal error and heat sensitive points.Second-ly,POA optimization algorithm was used to optimize the parameters of the random forest model to deter-mine the optimal number of decision trees and leaves of the RF network Finally,experiments were carried out on a three-axis milling center.The results show that the Featts clustering algorithm and Spearman corre-lation analysis are used to improve the accuracy of the model and effectively avoid multicollinearity among temperature measurement points.Compared with traditional BP neural network and RF network,the root-mean-square error of POA-RF prediction network is reduced by 46%and 43%respectively.
关键词
数控机床/直线轴热误差/温度测点筛选/热误差预测/POA-RF模型Key words
CNC machine tool/linear axis thermal error/temperature measuring point screening/thermal error prediction/POA-RF model引用本文复制引用
基金项目
国家自然科学基金项目(52065053)
国家自然科学基金项目(52365058)
国家自然科学基金项目(52365064)
内蒙古关键技术攻关项目(2021GG0255)
内蒙古自治区高等学校创新团队发展计划支持项目(NMGIRT2213)
内蒙古自治区直属高校基本科研业务费项目(ZTY2023005)
内蒙古自治区直属高校基本科研业务费项目(JY20230043)
内蒙古自治区高等学校青年科技英才支持计划项目(NJYT23043)
内蒙古自然科学基金项目(2023LHMS05018)
内蒙古自然科学基金项目(2023LHMS05017)
出版年
2024
NETL
NSTL
万方数据