Diagnostics for geometric performance of machine tool linear axes
2016 (English)In: CIRP annals, ISSN 0007-8506, E-ISSN 1726-0604, Vol. 65, no 1, 377-380 p.Article in journal (Refereed) Published
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.
Diagnostics, Error, Machine tool
Research subject SRA - Production
IdentifiersURN: urn:nbn:se:kth:diva-191167DOI: 10.1016/j.cirp.2016.04.117ISI: 000380603200095OAI: oai:DiVA.org:kth-191167DiVA: diva2:955204
66th General Assembly of the International-Academy-for-Production-Engineering (CIRP), Aug 21-27, 2016, Guimaraes, Portugal
FunderXPRES - Initiative for excellence in production research
QC 201608252016-08-242016-08-242016-09-15Bibliographically approved