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New methods for in-process identification of modal parameters in milling
University West, Department of Engineering Science, Division of Subtractive and Additive Manufacturing. (PTW)ORCID iD: 0000-0001-9331-7354
University West, Department of Engineering Science, Division of Subtractive and Additive Manufacturing. Sandvik Coromant AB, Sandviken, 81181, Sweden. (PTW)
GKN Aerospace Sweden AB, Trollhättan, 46138, Sweden.
GKN Aerospace Sweden AB, Trollhättan, 46138, Sweden.
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2018 (English)In: Procedia CIRP, ISSN 2212-8271, E-ISSN 2212-8271, Vol. 77, p. 469-472Article in journal (Refereed) Published
Abstract [en]

Chatter vibrations encountered in machining can degrade surface finish and damage the machining hardware. Since chatter originates from unstable interaction of the machining process and the machining structure, information about vibration parameters of the machining structure should be used to predict combinations of cutting parameters that allow stable machining. While modal test methods, for example those with impact hammers, are widely used to identify structural parameters; the need for sophisticated test equipment is prohibitive in their use. Furthermore, dynamic properties of critical components of a machine tool may change as they get affected by cutting loads, material removal and spindle rotation. Recently few algorithms have been proposed that identify the in-process dynamic parameters by frequency measurements, thus avoiding these problems. In this paper, some of these algorithms are reviewed and their capabilities and limitations in processing am experimental data set are compared and discussed. © 2018 The Authors. Published by Elsevier Ltd.

Place, publisher, year, edition, pages
2018. Vol. 77, p. 469-472
Keywords [en]
Data handling; Equipment testing; Machine components; Machine tools; Milling (machining); Modal analysis, Chatter; Chatter vibrations; Critical component; Cutting parameters; Frequency measurements; In-process; Structural parameter; Vibration parameters, Parameter estimation
National Category
Applied Mechanics Manufacturing, Surface and Joining Technology
Research subject
ENGINEERING, Manufacturing and materials engineering; Production Technology
Identifiers
URN: urn:nbn:se:hv:diva-13202DOI: 10.1016/j.procir.2018.08.269Scopus ID: 2-s2.0-85057398424OAI: oai:DiVA.org:hv-13202DiVA, id: diva2:1272491
Conference
8th CIRP Conference on High Performance Cutting, HPC 2018; Budapest; Hungary; 25 June 2018 through 27 June 2018
Funder
Knowledge FoundationAvailable from: 2018-12-19 Created: 2018-12-19 Last updated: 2019-05-24Bibliographically approved

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Eynian, MahdiMagnevall, Martin

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