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Machine Tool and Process Condition Monitoring Using Poincaré Maps
KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Machine and Process Technology.
University West och Volvo Aero Corporation, Trollhättan, Sweden.
University West and Production Technology Centre, Innovatum AB, Trollhättan, Sweden.
2010 (English)In: The International Conference on Competitive Manufacturing (COMA’10), 2010Conference paper (Other academic)
Place, publisher, year, edition, pages
Keyword [en]
condition monitoring, machine tool, nonlinear analysis
URN: urn:nbn:se:kth:diva-13355OAI: diva2:324193
QC20100614Available from: 2010-06-14 Created: 2010-06-14 Last updated: 2011-04-15Bibliographically approved
In thesis
1. Condition monitoring of machine tools and machining processes using internal sensor signals
Open this publication in new window or tab >>Condition monitoring of machine tools and machining processes using internal sensor signals
2010 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

Condition monitoring of critical machine tool components and machining processes is a key factor to increase the availability of the machine tool and achieving a more robust machining process. Failures in the machining process and machine tool components may also have negative effects on the final produced part. Instabilities in machining processes also shortens the life time of the cutting edges and machine tool.

The condition monitoring system may utilise information from several sources to facilitate the detection of instabilities in the machining process. To avoid additional complexity to the machining system the use of internal sensors is considered. The focus in this thesis has been to investigate if information related to the machining process can be extracted directly from the internal sensors of the machine tool.

The main contibutions of this work is a further understanding of the direct response from both linear and angular position encoders due the variations in the machining process. The analysis of the response from unbalance testing of turn tables and two types of milling processes, i.e. disc-milling and slot-milling, is presented. It is shown that operational frequencies, such as cutter frequency and tooth-passing frequency, can be extracted from both active and inactive machine axes, but the response from an active machine axis involves a more complex analysis. Various methods for the analysis of the responses in time domain, frequency domain and phase space are presented.

Place, publisher, year, edition, pages
Stockholm: KTH Royal Institute of Technology, 2010. xviii, 93 p.
Trita-IIP, ISSN 1650-1888 ; 2010:01
condition monitoring, machine tool, machining process, milling, position encoders, signal analysis
urn:nbn:se:kth:diva-12872 (URN)978-91-7415-600-3 (ISBN)
2010-04-09, Sal M312, KTH, Brinellvägen 68, Stockholm, 10:00 (English)
QC 20100518Available from: 2010-05-18 Created: 2010-05-18 Last updated: 2011-04-15Bibliographically approved

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