Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/17644
Title: An Approach of Empirical Model Uncertainty Estimation During Physical Quantities Investigation in Turning
Authors: Trajchevski, Neven
Tomov, Mite 
Sarac, Vasilija
Issue Date: 9-Mar-2022
Publisher: World Scientific Pub Co Pte Ltd
Journal: Journal of Advanced Manufacturing Systems
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>
URI: http://hdl.handle.net/20.500.12188/17644
DOI: 10.1142/s0219686722500329
Appears in Collections:Faculty of Mechanical Engineering: Journal Articles

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