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Analysis of stationary displacement patterns in rotating machinery subject to local harmonic excitation
KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Machine and Process Technology.ORCID iD: 0000-0003-0155-127X
KTH, School of Engineering Sciences (SCI), Aeronautical and Vehicle Engineering, Marcus Wallenberg Laboratory MWL.ORCID iD: 0000-0001-5760-3919
KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Machine and Process Technology.
2017 (English)In: Journal of Sound and Vibration, ISSN 0022-460X, E-ISSN 1095-8568, Vol. 389, 224-235 p.Article in journal (Refereed) Published
Abstract [en]

Rotor vibration and stationary displacement patterns observed in rotating machineries subject to local harmonic excitation are analysed for improved understanding and dynamic characterization. The analysis stresses the importance of coordinate transformation between rotating and stationary frame of reference for accurate results and estimation of dynamic properties. A generic method which can be used for various rotor applications such as machine tool spindle and turbo machinery vibration is presented. The phenomenon shares similarities with stationary waves in rotating disks though focuses on vibration in shafts. The paper further proposes a graphical tool, the displacement map, which can be used for selection of stable rotational speed for rotating machinery. The results are validated through simulation of dynamic response of a milling cutter, which is a typical example of a variable speed rotor operating under different load conditions.

Place, publisher, year, edition, pages
Elsevier, 2017. Vol. 389, 224-235 p.
Keyword [en]
Rotor dynamics, Displacement map, Milling
National Category
Applied Mechanics
Research subject
Engineering Mechanics; SRA - Production
Identifiers
URN: urn:nbn:se:kth:diva-198179DOI: 10.1016/j.jsv.2016.11.017OAI: oai:DiVA.org:kth-198179DiVA: diva2:1055948
Projects
VINNOVA - FFI COMPIT
Funder
VINNOVA, G62250
Note

QC 20161214

Available from: 2016-12-13 Created: 2016-12-13 Last updated: 2016-12-14Bibliographically approved

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Österlind, TomasKari, LeifNicolescu, Cornel-Mihai
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Machine and Process TechnologyMarcus Wallenberg Laboratory MWL
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