Ве молиме користете го овој идентификатор да го цитирате или поврзете овој запис: http://hdl.handle.net/20.500.12188/17682
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dc.contributor.authorTrajchevski, Nevenen_US
dc.contributor.authorKuzinovski, Mikolajen_US
dc.contributor.authorTomov, Miteen_US
dc.contributor.authorCichosz, Piotren_US
dc.date.accessioned2022-05-18T19:27:18Z-
dc.date.available2022-05-18T19:27:18Z-
dc.date.issued2018-10-08-
dc.identifier.urihttp://hdl.handle.net/20.500.12188/17682-
dc.description.abstract<jats:p>This paper presents an approach of empirical modeling of cutting process physical phenomena with measurement uncertainty parameters accompanied to the model exponents/ /coefficients. The approach is presented trough an example of creating a power mathematical model for average cutting temperature in turning with details about the uncertainty contributions from different experimental plans. The approach is proposed to be implemented as usual practice during empirical modeling, in order the resulting models to fit with the needs of the smart machining systems and the needs of interoperability between researchers.</jats:p>en_US
dc.publisherSIMP Redakcja Mechanik - Agenda Wydawnicza SIMPen_US
dc.relation.ispartofMechaniken_US
dc.titleReducing of process model uncertainty towards smart machining systemsen_US
dc.identifier.doi10.17814/mechanik.2018.10.150-
dc.identifier.urlhttp://mechanik-science.com/index.php/mechanik/article/download/356/353-
dc.identifier.urlhttp://mechanik-science.com/index.php/mechanik/article/download/356/353-
dc.identifier.volume91-
dc.identifier.issue10-
item.fulltextNo Fulltext-
item.grantfulltextnone-
crisitem.author.deptFaculty of Mechanical Engineering-
crisitem.author.deptFaculty of Mechanical Engineering-
Appears in Collections:Faculty of Mechanical Engineering: Journal Articles
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