Estimation of Machining System Dynamic Properties - Measurement and Modelling
2017 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]
Dynamic characteristics of machining systems are analysed for improved understanding of both structural and process properties. The thesis stresses the use of testing methods under operational like conditions as these are more representative of closed loop systems, such as machining systems, as compared to conventional testing methods.
The test instrument proposed is a contactless excitation and response system, developed for testing of machine tool spindles under load and with rotating spindle. The instrument uses electromagnetic excitation and displacement sensors for analysis of rotating milling tools subject to load. A graphical tool for displaying and analysing rotor displacement was developed in conjunction with this.
A modelling procedure for both off-line and on-line estimation of dynamic properties of mechanical structure and process information is presented. The proposed auto-regressive moving average models enable calculation of operational dynamic parameters and they can be estimated in a recursive manner, thus enabling real-time monitoring. The discrimination between stable and unstable processes, both in turning and milling, was performed by analysing the damping obtained from the operational dynamic parameters.
Place, publisher, year, edition, pages
Stockholm: Kungliga Tekniska högskolan, 2017. , p. 57
Series
TRITA-IIP, ISSN 1650-1888 ; 17-02
Keywords [en]
Machining system, Operational dynamic parameters, Displacement map, Contactless excitation and response system
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
SRA - Production; Production Engineering
Identifiers
URN: urn:nbn:se:kth:diva-204579ISBN: 978-91-7729-323-1 (print)OAI: oai:DiVA.org:kth-204579DiVA, id: diva2:1085330
Public defence
2017-04-28, F3, Lindstedtsvägen 26, Stockholm, 10:00 (English)
Opponent
Supervisors
Funder
VINNOVA
Note
QC 20170330
2017-03-302017-03-282023-02-15Bibliographically approved
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