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Condition monitoring of machine tools and machining processes using internal sensor signals
University West, Department of Engineering Science, Division of Production Engineering. (PTW)ORCID iD: 0000-0002-3436-3163
2010 (English)Licentiate thesis, comprehensive summary (Other academic)
Place, publisher, year, edition, pages
2010. , 132 p.
Series
Licentiate Thesis in Production Engineering KTH, Stockholm, ISSN 1650-1888
Keyword [en]
Conditional monitoring, machine tool, machining process, milling, position encoders, signal analysis
National Category
Materials Engineering
Research subject
ENGINEERING, Manufacturing and materials engineering
Identifiers
URN: urn:nbn:se:hv:diva-2431ISBN: 978-91-7415-600-3 (print)OAI: oai:DiVA.org:hv-2431DiVA: diva2:315962
Presentation
(English)
Available from: 2010-04-29 Created: 2010-04-29 Last updated: 2016-02-09Bibliographically approved
List of papers
1. New Aspects on Condition Monitoring of Machine Tools and Machining Processes
Open this publication in new window or tab >>New Aspects on Condition Monitoring of Machine Tools and Machining Processes
2009 (English)In: The Swedish Production Symposium (SPS'09): 2-3 dec,  Göteborg, 2009, 27-33 p.Conference paper, Published paper (Other academic)
Abstract [en]

A general trend within the manufacturing community and in particular the aerospace industry is that the requirements on the manufacturing of components are subjected to ever tighter tolerances and surface integrity restrictions. In order to fulfil these requirements a lot of effort has been carried out to non destructive testing of the produced part. However, the final objective in the first place must be to assure a robust process. One way to achieve a robust process is to continuously monitor it. This may require additional sensors which increase complexity and adds cost. This paper presents suggestions and experimentally achieved results into the extended use of already existing sensors in the machine tool. The basic idea is to show how these sensors can provide additional information about the machine tool itself and how they can be used for monitoring the process as well as to support maintenance activities. The Poincaré analysis method is applied to the position encoder signals to reveal the underlying dynamics when the machine tool structure is excited with a periodically varying load.

Keyword
Machine tool, Condition monitoring, Poincaré maps
National Category
Materials Engineering
Research subject
ENGINEERING, Manufacturing and materials engineering
Identifiers
urn:nbn:se:hv:diva-2233 (URN)
Available from: 2010-02-23 Created: 2010-02-23 Last updated: 2016-02-09Bibliographically approved
2. Machine tool and process condition monitoring using Poincaré maps
Open this publication in new window or tab >>Machine tool and process condition monitoring using Poincaré maps
2010 (English)In: COMA'10, International Conference on Competitive Manufacturing: Stellenbosch, South Africa, 3-5 February 2010, 2010Conference paper, Published paper (Other academic)
National Category
Materials Engineering
Research subject
ENGINEERING, Manufacturing and materials engineering
Identifiers
urn:nbn:se:hv:diva-2430 (URN)
Available from: 2010-04-29 Created: 2010-04-29 Last updated: 2016-02-09Bibliographically approved

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Citation style
  • apa
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Language
  • de-DE
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Output format
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  • asciidoc
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