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 |
Show full item record
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.