文献类型：期刊文献

中文题名：一种基于加工轨迹灵敏度指标的数控机床关键几何误差辨识方法

英文题名：A Key Geometric Error Identification Method for CNC Machine Tools Based on Machining Trajectory Sensitivity Indicators

作者：戴鑫[1,2];刘焕牢[1,2];王宇林[1,2];李想[1,2]

机构：[1]广东海洋大学机械工程学院,湛江524088;[2]广东省海洋装备及制造工程技术研究中心,湛江524088

年份：2025

卷号：36

期号：12

起止页码：2862

中文期刊名：中国机械工程

外文期刊名：China Mechanical Engineering

收录：北大核心2023、、EI(收录号：20260219865062)、北大核心

基金：国家自然科学基金(52175458);广东省普通高校重点领域专项(2022ZDZX3006);广东省科技厅高新技术专题(2021A05186)。

语种：中文

中文关键词：灵敏度分析;关键几何误差;五轴数控机床;空间误差建模;加工误差

外文关键词：sensitivity analysis;key geometric error;five-axis CNC machine tool;volumetric error modeling;machining error

中文摘要：提出了一种基于加工轨迹的灵敏度分析方法对数控机床加工关键几何误差进行辨识。首先采用多体系统理论和齐次坐标变换,建立AC双转台五轴数控机床空间误差模型,并利用激光干涉仪和球杆仪进行几何误差的测量;进一步建立以机床位置为自变量的空间误差模型,基于加工轨迹中41项几何误差造成的误差矢量和空间误差的关系,提出一种新的灵敏度指标。以S试件加工轨迹为例,辨识出11项关键几何误差。最后,分别对11项关键几何误差和剩余30项几何误差进行了补偿实验,结果表明,补偿11项关键几何误差后加工误差降低了73.63%,补偿剩余30项几何误差后加工误差仅降低11.28%,证明了该灵敏度分析方法的正确性和有效性。

外文摘要：A sensitivity analysis method was proposed based on machining trajectories that might identify key geometric errors in CNC machine tool machining processes.Firstly,the spatial error model of the AC dual-turntable five-axis CNC machine tool was completed using multibody system theory and homogeneous coordinate transformation,and the geometric errors were measured using a laser interferometer and ball bar.A spatial error model with the machine tool position as the independent variable was further established,and a new sensitivity index was proposed based on the relationship between the error vector caused by 41 geometric errors in the machining trajectories and the spatial errors.Taking the machining trajectory of the S test piece as an example,11 key geometric errors were identified.Finally,compensation tests were conducted on the 11 key geometric errors and the remaining 30 geometric errors,respectively.The results show that after compensation for the 11 key geometric errors,the machining errors reduce by 73.63%,while compensation for the remaining 30 geometric errors only reduce the machining errors by 11.28%,proving the correctness and effectiveness of the sensitivity analysis method.