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Nonparametric identificationof stiffness and damping in nonlinear machining systems
KTH, School of Industrial Engineering and Management (ITM), Production Engineering. (Maskin och processteknologi)ORCID iD: 0000-0001-9185-4607
KTH, School of Industrial Engineering and Management (ITM), Production Engineering. (Maskin och processteknologi)
2013 (English)In: / [ed] Andreas Archenti, Antonio Maffei, 2013, 317-327 p.Conference paper, Published paper (Refereed)
Abstract [en]

The demand for enhanced performance of production systems in terms of quality, cost and reliability is ever increasing while, at the same time, there is a demand for shorter design cycles, longer operating life, minimisation of inspection and maintenanceneeds. Experimental testing and system identification in operational conditions still represent an important technique for monitoring, control and optimization. The term identification refers in the present paper to theextraction of information from experimental data and is used to estimate operational dynamic parameters for machining system. Such approach opens up the possibility of monitoring the dynamics of machining system during operational conditions, and to be used for control and/or predictive purposes

Place, publisher, year, edition, pages
2013. 317-327 p.
Keyword [en]
machining systems, self-excited vibrations, operational dynamic parameters
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
SRA - Production
Identifiers
URN: urn:nbn:se:kth:diva-136747ISBN: 978-91-7501-893-5 (print)OAI: oai:DiVA.org:kth-136747DiVA: diva2:677020
Conference
International Conference on Advanced Manufacturing Engineering and Technologies NEWTECH 2013; Stockholm, Sweden, 27-30 October 2013
Funder
XPRES - Initiative for excellence in production research
Note

QCR 20160622

Available from: 2013-12-09 Created: 2013-12-09 Last updated: 2016-06-22Bibliographically approved

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  • Other locale
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Output format
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