Open AccessAn Approach of Empirical Model Uncertainty Estimation During Physical Quantities Investigation in Turning
Author(s) -
Neven Trajchevski,
Mite Tomov,
Vasilija Šarac
Publication year - 2022
Publication title -
journal of advanced manufacturing systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.252
H-Index - 16
eISSN - 1793-6896
pISSN - 0219-6867
DOI - 10.1142/s0219686722500329
Subject(s) - reliability (semiconductor) , process (computing) , machining , empirical modelling , mathematical model , estimation , identification (biology) , power (physics) , computer science , engineering , econometrics , mathematics , statistics , simulation , mechanical engineering , systems engineering , physics , botany , quantum mechanics , biology , operating system
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.