Proceedings of International Conference on Leading Edge Manufacturing in 21st century : LEM21
Online ISSN : 2424-3086
ISSN-L : 2424-3086
2021.10
Session ID : 034-095
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Online Identification of Dynamic Characteristics for Machine Tool Digital Twin
Tomoya FUJITATiandong XIRyosuke IKEDASebastian KEHNEMarcel FEYChristian BRECHER
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Abstract

A concept of digital twin for machine tools digital twin for cutting simulation is proposed. The suggested digital twin is a time-domain simulator for processes of machine tool consisting of a controller model, a machining process model, and a machine dynamic model. In this report, an online system identification method to model machine dynamic is developed. An ARX vibration model is adopted as vibration model. Time domain simulations of TCP vibrations are calculated with the identified vibration model. The results of the time-domain simulation showed a better accuracy than typical system identification methods in frequency-domain.

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© 2021 The Japan Society of Mechanical Engineers
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