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Prediction of machined part accuracy from machining system capability
KTH, School of Industrial Engineering and Management (ITM), Production Engineering. (Precision Engineering and Metrology)ORCID iD: 0000-0001-9185-4607
2014 (English)In: CIRP annals, ISSN 0007-8506, E-ISSN 1726-0604, Vol. 63, no 1, 505-508 p.Article in journal (Refereed) Published
Abstract [en]

A novel methodology for linking machining system capability to the accuracy of a machined part is presented. Using special testing equipment, force-deviation functions in the real machine workspace are obtained. An elastically linked multi-body simulation and FE model evaluates the volumetric deviations. The deviation values are then calculated for a particular tool path. The forces and the deviations along the tool path are computed and compared with results obtained from machining experiments. This approach yields elimination of laborious machining experiments and supports an unequivocal control of machining system conditions giving the required level of part accuracy.

Place, publisher, year, edition, pages
Elsevier, 2014. Vol. 63, no 1, 505-508 p.
Keyword [en]
Accuracy, Machine tool, Elastically Linked Systems (ELS)
National Category
Engineering and Technology
Research subject
SRA - Production
Identifiers
URN: urn:nbn:se:kth:diva-147869DOI: 10.1016/j.cirp.2014.03.040ISI: 000338811000127Scopus ID: 2-s2.0-84902546592OAI: oai:DiVA.org:kth-147869DiVA: diva2:732782
Funder
XPRES - Initiative for excellence in production researchVinnova
Note

QC 20140811

Available from: 2014-07-06 Created: 2014-07-06 Last updated: 2017-12-05Bibliographically approved

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Archenti, Andreas

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