A Virtual Milling Machine Model to Generate Machine-Monitoring Data for Predictive Analytics

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TitreA Virtual Milling Machine Model to Generate Machine-Monitoring Data for Predictive Analytics
Type de publicationConference Paper
Year of Publication2016
AuteursLechevalier D, Shin S-J, Woo J, Rachuri S, Foufou S
EditorBouras A, Eynard B, Foufou S, Thoben KD
Conference NamePRODUCT LIFECYCLE MANAGEMENT IN THE ERA OF INTERNET OF THINGS, PLM 2015
PublisherIFIP Working Grp WG 5 1; Qatar Natl Res Fund
Conference LocationGEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND
ISBN Number978-3-319-33111-9; 978-3-319-33110-2
Mots-clésdata analytics, Data generator, Milling, MTConnect, STEP
Résumé

Real data from manufacturing processes are essential to create useful insights for decision-making. However, acquiring real manufacturing data can be expensive and time consuming. To address this issue, we implement a virtual milling machine model to generate machine monitoring data from process plans. MTConnect is used to report the monitoring data. This paper presents (1) the characteristics and specification of milling machine tools, (2) the architecture for implementing the virtual milling machine model, and (3) the integration with a simulation environment for extending to a virtual shop floor model. This paper also includes a case study to explain how to use the virtual milling machine model for predictive analytics modeling.

DOI10.1007/978-3-319-33111-9_76