机床
校准
补偿(心理学)
计算机科学
坐标测量机
运动学
点(几何)
人工智能
机器学习
控制工程
工程类
机械工程
数学
统计
心理学
经典力学
物理
精神分析
几何学
作者
Wei Gao,Soichi Ibaraki,M A. Donmez,Daisuke Kono,J.R.R. Mayer,Yuan-Liu Chen,Károly Szipka,Andreas Archenti,Jean‐Marc Linares,Norikazu Suzuki
标识
DOI:10.1016/j.ijmachtools.2023.104017
摘要
Advanced technologies for the calibration of machine tools are presented. Kinematic errors independently of their causes are classified into errors within one-axis as intra-axis errors, errors between axes as inter-axis errors, and as volumetric errors. As the major technological elements of machine tool calibration, the measurement methods, modeling theories, and compensation strategies of the machine tool errors are addressed. The criteria for selecting a combination of the technological elements for machine tool calibration from the point of view of accuracy, complexity, and cost are provided. Recent applications of artificial intelligence and machine learning in machine tool calibration are introduced. Remarks are also made on future trends in machine tool calibration.
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