Machine learning models for predicting volumetric errors based on scale and master balls artefact probing data

Min Zeng, Miao Feng, J. R. René Mayer, Elie Bitar-Nehme and Xuan Truong Duong

Article (2025)

Open Acess document at official publisher

An external link is available for this item

Department:	Department of Mechanical Engineering
PolyPublie URL:	https://publications.polymtl.ca/64401/
Journal Title:	CIRP journal of manufacturing science and technology (vol. 59)
Publisher:	Elsevier BV
DOI:	10.1016/j.cirpj.2025.03.003
Official URL:	https://doi.org/10.1016/j.cirpj.2025.03.003
Date Deposited:	03 Apr 2025 10:01
Last Modified:	03 Apr 2025 10:01

Cite in APA 7:	Zeng, M., Feng, M., Mayer, J. R. R., Bitar-Nehme, E., & Duong, X. T. (2025). Machine learning models for predicting volumetric errors based on scale and master balls artefact probing data. CIRP journal of manufacturing science and technology, 59, 135-157. https://doi.org/10.1016/j.cirpj.2025.03.003
APA 7 (HTML)ASCII CitationAtomBibTeXDOIsDublin CoreEndNote (.ENW)MARC (ISO 2709/UTF-8) (.MRC)MARC (UTF-8) (.MRK8)MARC XMLMPEG-21 DIDLMultiline CSVOAI-ORE Resource Map (Atom Format)OPENAIREOpenURL ContextObjectOpenURL ContextObject in SpanRDF+N-TriplesRDF+N3RDF+XMLReferReference Manager (.RIS)Simple Metadata

Statistics

Repository Staff Only