Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/17644
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dc.contributor.authorTrajchevski, Nevenen_US
dc.contributor.authorTomov, Miteen_US
dc.contributor.authorSarac, Vasilijaen_US
dc.date.accessioned2022-05-18T06:29:24Z-
dc.date.available2022-05-18T06:29:24Z-
dc.date.issued2022-03-09-
dc.identifier.urihttp://hdl.handle.net/20.500.12188/17644-
dc.description.abstract<jats:p> This paper presents an approach of empirical modeling of the machining process physical quantity with measurement uncertainty parameter included in the resulting power mathematical model coefficients. The proposed approach is presented through an example of modeling of the average temperature in turning like a methodology that is under the influence of various sources of measurement errors. The uncertainty budget accounts for the sources of errors of the experimental measuring system and the cutting process itself. This approach enables estimation of the reliability of the gained mathematical models and gives the possibility of identification and lowering of the main sources of errors. </jats:p>en_US
dc.language.isoenen_US
dc.publisherWorld Scientific Pub Co Pte Ltden_US
dc.relation.ispartofJournal of Advanced Manufacturing Systemsen_US
dc.titleAn Approach of Empirical Model Uncertainty Estimation During Physical Quantities Investigation in Turningen_US
dc.identifier.doi10.1142/s0219686722500329-
dc.identifier.urlhttps://www.worldscientific.com/doi/pdf/10.1142/S0219686722500329-
item.grantfulltextnone-
item.fulltextNo Fulltext-
crisitem.author.deptFaculty of Mechanical Engineering-
Appears in Collections:Faculty of Mechanical Engineering: Journal Articles
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