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Diagnostics for geometric performance of machine tool linear axes
National Institute of Standards and Technologies NIST.
National Institute of Standards and Technologies NIST.
KTH, School of Industrial Engineering and Management (ITM), Production Engineering. (Precision Manufacturing and Metrology)ORCID iD: 0000-0001-9185-4607
2016 (English)In: CIRP annals, ISSN 0007-8506, E-ISSN 1726-0604, Vol. 65, no 1, 377-380 p.Article in journal (Refereed) Published
Abstract [en]

Machine tools degrade during operations, yet knowledge of degradation is elusive; accurately detecting degradation of linear axes is typically a manual and time-consuming process. Manufacturers need automated and efficient methods to diagnose the condition of their machine tool linear axes with minimal disruptions to production. A method was developed to use data from an inertial measurement unit (IMU) for identification of changes in the translational and angular errors due to axis degradation. A linear axis testbed, established for the purpose of verification and validation, revealed that the IMU-based method was capable of measuring geometric errors with acceptable test uncertainty ratios.

Place, publisher, year, edition, pages
Elsevier, 2016. Vol. 65, no 1, 377-380 p.
Keyword [en]
Diagnostics, Error, Machine tool
National Category
Mechanical Engineering
Research subject
SRA - Production
Identifiers
URN: urn:nbn:se:kth:diva-191167DOI: 10.1016/j.cirp.2016.04.117ISI: 000380603200095Scopus ID: 2-s2.0-84971629577OAI: oai:DiVA.org:kth-191167DiVA: diva2:955204
Conference
66th General Assembly of the International-Academy-for-Production-Engineering (CIRP), Aug 21-27, 2016, Guimaraes, Portugal
Funder
XPRES - Initiative for excellence in production research
Note

QC 20160825

Available from: 2016-08-24 Created: 2016-08-24 Last updated: 2016-09-15Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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