Back to Search Start Over

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

Authors :
Tong, Xin
Liu, Qiang
Pi, Shiwei
Xiao, Yao
Source :
Journal of Intelligent Manufacturing; Jun2020, Vol. 31 Issue 5, p1113-1132, 20p
Publication Year :
2020

Abstract

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09565515
Volume :
31
Issue :
5
Database :
Complementary Index
Journal :
Journal of Intelligent Manufacturing
Publication Type :
Academic Journal
Accession number :
143301945
Full Text :
https://doi.org/10.1007/s10845-019-01500-0