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An Approach of Empirical Model Uncertainty Estimation During Physical Quantities Investigation in Turning.
- Source :
- Journal of Advanced Manufacturing Systems; Dec2022, Vol. 21 Issue 4, p851-868, 18p
- Publication Year :
- 2022
-
Abstract
- 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. [ABSTRACT FROM AUTHOR]
- Subjects :
- PHYSICAL constants
PHYSICAL measurements
MATHEMATICAL models
MEASUREMENT errors
Subjects
Details
- Language :
- English
- ISSN :
- 02196867
- Volume :
- 21
- Issue :
- 4
- Database :
- Complementary Index
- Journal :
- Journal of Advanced Manufacturing Systems
- Publication Type :
- Academic Journal
- Accession number :
- 161030940
- Full Text :
- https://doi.org/10.1142/S0219686722500329