Real-time machining data application and service based on IMT digital twin

被引:0
作者
Xin Tong
Qiang Liu
Shiwei Pi
Yao Xiao
机构
[1] Beihang University,School of Mechanical Engineering and Automation
[2] Beijing Engineering Technological Research Center of High-efficient and Green CNC Machining Process and Equipment,undefined
来源
Journal of Intelligent Manufacturing | 2020年 / 31卷
关键词
Digital twin; Intelligent machine tool; Machining data; Data fusion; Data service;
D O I
暂无
中图分类号
学科分类号
摘要
With the development of manufacturing, machining data applications are becoming a key technological component of enhancing the intelligence of manufacturing. The new generation of machine tools should be digitalized, highly efficient, network-accessible and intelligent. An intelligent machine tool (IMT) driven by the digital twin provides a superior solution for the development of intelligent manufacturing. In this paper, a real-time machining data application and service based on IMT digital twin is presented. Multisensor fusion technology is adopted for real-time data acquisition and processing. Data transmission and storage are completed using the MTConnect protocol and components. Multiple forms of HMIs and applications are developed for data visualization and analysis in digital twin, including the machining trajectory, machining status and energy consumption. An IMT digital twin model is established with the aim of further data analysis and optimization, such as the machine tool dynamics, contour error estimation and compensation. Examples of the IMT digital twin application are presented to prove that the development method of the IMT digital twin is effective and feasible. The perspective development of machining data analysis and service is also discussed.
引用
收藏
页码:1113 / 1132
页数:19
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