Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Contactless excitation and response system for analysis of high precision rotor dynamic properties
KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Machine and Process Technology.ORCID iD: 0000-0001-9185-4607
KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Machine and Process Technology.ORCID iD: 0000-0003-2511-7267
KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Machine and Process Technology.ORCID iD: 0000-0003-0155-127X
2013 (English)In: Laser Metrology and Machine Performance X: LAMDAMAP 2013 / [ed] Prof. Liam Blunt & Dr. Wolfgang Knapp, Bedfordshire, UK: euspen , 2013, 150-156 p.Conference paper, Published paper (Refereed)
Abstract [en]

The spindle system is a critical part of a machine tool structure and its dynamic properties are important for the performance of the whole machining system. Currently the only way to extract the dynamic properties of a given structure is via experimental modal analysis. This approach, however, can only be employed on idle systems and is performed with the assumption that the dynamics of a system are independent of rotational speed. The latter assumption cannot be applied to spindle systems. This paper introduces a novel testing system for analysing machine tool spindles dynamic properties, consisting of real-time recursive estimation of modal and operational dynamic parameters, employed alongside a contactless excitation and response system. The presented approach allows analysing the spindle system condition and dynamic properties not only at discrete rotational speed intervals but also during continuous sweep of rotational speed.

Place, publisher, year, edition, pages
Bedfordshire, UK: euspen , 2013. 150-156 p.
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
SRA - Production
Identifiers
URN: urn:nbn:se:kth:diva-120465Scopus ID: 2-s2.0-84908266209ISBN: 978-0-9566790-1-7 (print)OAI: oai:DiVA.org:kth-120465DiVA: diva2:615097
Conference
Laser Metrology, Machine tool, CMM and Robotic Performance, Lamdamap 10th International Conference and Exhibition; Kavli Royal Society International Centre, Buckinghamshire, UK, March 20-21, 2013
Projects
FFI COMPIT – Capability of Machining Systems and Performance Improvement Technologies
Funder
XPRES - Initiative for excellence in production researchVinnova
Note

QC 20130823

Available from: 2013-04-08 Created: 2013-04-08 Last updated: 2017-03-28Bibliographically 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. 57 p.
Series
TRITA-IIP, ISSN 1650-1888 ; 17-02
Keyword
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: 2017-03-30Bibliographically approved

Open Access in DiVA

No full text

Scopus

Authority records BETA

Archenti, AndreasDaghini, LorenzoÖsterlind, Tomas

Search in DiVA

By author/editor
Archenti, AndreasDaghini, LorenzoÖsterlind, Tomas
By organisation
Machine and Process Technology
Production Engineering, Human Work Science and Ergonomics

Search outside of DiVA

GoogleGoogle Scholar

isbn
urn-nbn

Altmetric score

isbn
urn-nbn
Total: 409 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf