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Operational Modal Analysis During Milling Of Workpiece, Fixed On A Stiffness Controllable Joint
KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Machine and Process Technology.ORCID iD: 0000-0003-0155-127X
KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Machine and Process Technology.ORCID iD: 0000-0003-0219-1667
KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Machine and Process Technology.ORCID iD: 0000-0001-9185-4607
2013 (English)In: Journal of Machine Engineering, ISSN 1895-7595, Vol. 13, no 2, p. 69-78Article in journal (Refereed) Published
Abstract [en]

Vibration in metal cutting processes has been studied to a great extent resulting in for instance stability lobe diagrams under which stable machining parameters can be selected. One limitation of accurately estimated stability diagrams is the change in process and dynamic characteristics of the machine tool under operation. The machine tool dynamic response is often analysed with experimental modal analysis under off operational conditions. One drawback with this approach is the large number of measurements required to fully describe a machine tool and workpiece in different positions and time of machining. Another drawback is that the change of dynamic characteristics under operation is excluded. Operational modal analysis has been applied in machining under different conditions resulting in successfully improved stability lobe prediction. This research includes operational modal analysis of the workpiece, fixed on a stiffness controllable joint and stability prediction to stress the importance of various machining conditions.

Place, publisher, year, edition, pages
Wroclaw, Poland: Wroclawska Rada Federacji Stowarzyszen Naukowo-Technicznych NOT , 2013. Vol. 13, no 2, p. 69-78
Keywords [en]
machine tool, operational modal analysis, machining stability
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
SRA - Production
Identifiers
URN: urn:nbn:se:kth:diva-133565OAI: oai:DiVA.org:kth-133565DiVA, id: diva2:662132
Funder
VinnovaXPRES - Initiative for excellence in production research
Note

QC 20140124

Available from: 2013-11-06 Created: 2013-11-06 Last updated: 2022-06-23Bibliographically approved
In thesis
1. Estimation of Machining System Dynamic Properties - Measurement and Modelling
Open this publication in new window or tab >>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
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:nbn:se:kth:diva-204579 (URN)978-91-7729-323-1 (ISBN)
Public defence
2017-04-28, F3, Lindstedtsvägen 26, Stockholm, 10:00 (English)
Opponent
Supervisors
Funder
VINNOVA
Note

QC 20170330

Available from: 2017-03-30 Created: 2017-03-28 Last updated: 2023-02-15Bibliographically approved

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Journal of Machine Engineering

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Österlind, TomasFrangoudis, ConstantinosArchenti, Andreas

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