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Parametric and non-parametric identification of micromilling dynamics
CNR Institute of Industrial Technology and Automation, Milan, Italy.
KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Machine and Process Technology.ORCID iD: 0000-0001-9185-4607
Department of Mechanical Engineering, Polimi, Milan, Italy.
2015 (English)In: Proceedings of the 4M/ICOMM2015 Conference / [ed] Massimiliano Annoni et al, 2015, 121-125 p.Conference paper (Refereed)
Abstract [en]

Monitoring and control of micromilling process represents a challenging task in metal cutting. The lack of static and dynamic stiffness due to the small tool size represents one of the most important issues that has to be tackled in order to provide satisfactory control of the process. In this paper different methods for identifying micro-end milling dynamics for process monitoring are proposed. On one side a parametric approach based on the identification of machining system ODPs (Operation Dynamic Parameters) has been designed. On the other hand a non-parametric approach, based on the calculation of system Lyapunov exponents has been also tested to verify whether generalized methods for assessing system dynamics are also applicable in micromachining where the process non-linearity’s can become relevant, thus limiting the effectiveness of other monitoring methods.

Place, publisher, year, edition, pages
2015. 121-125 p.
Keyword [en]
Micromilling, Identification, Process stability, Chatter
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
SRA - Production
URN: urn:nbn:se:kth:diva-166761DOI: 10.3850/978-981-09-4609-8_030ISBN: 978-981-09-4609-8OAI: diva2:812086

QC 20150615

Available from: 2015-05-15 Created: 2015-05-15 Last updated: 2015-06-15Bibliographically approved

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