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The paper presents the universal validation algorithm of coordinate measuring methods determined by the analysis and adaptation of appropriate validation parameters, techniques and models. The paper also provides the proposals of acceptance/rejection criteria of the analysed measurement method. These criteria are a set of mathematical formulas selected from numerous worldwide research publications and metrological studies, which have been tested, revised and adapted for the purposes of the validation.
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120--124
Opis fizyczny
Bibliogr. 15 poz., fot., rys., wzory
Twórcy
autor
- Cracow University of Technology, Laboratory of Coordinate Metrology, 37 Jana Pawla II Ave., 31-864 Cracow
autor
- Cracow University of Technology, Laboratory of Coordinate Metrology, 37 Jana Pawla II Ave., 31-864 Cracow
autor
- Cracow University of Technology, Laboratory of Coordinate Metrology, 37 Jana Pawla II Ave., 31-864 Cracow
autor
- Cracow University of Technology, Laboratory of Coordinate Metrology, 37 Jana Pawla II Ave., 31-864 Cracow
Bibliografia
- [1] Sładek J.: Accuracy of coordinate measurements. Publishing House of Cracow University of Technology, ISBN 978-83-7242-643-7, Cracow 2011.
- [2] Kacker R. N., Kessel R., Sommer K. D., Bian X.: Comparison of statistical consistency and metrological compatibility. XIX IMEKO World Congress Fundamental and Applied Metrology, 6-11, 2009, Lisbon, Portugal.
- [3] Kacker R. N., Kessel R., Sommer K. D.: Assessing differences between results determined according to the Guide of Expression of Uncertainty in Measurement. Journal of research of the national institute of Standards and Technology, 115, 453-459, 2010.
- [4] Kacker R. N., Kessel R., Sommer K. D.: Metrological compatibility and statistical consistency. 10th International Symposium on Measurement and Quality Control 2010, September 5-9.
- [5] Cox M.G.: The evaluation of key comparison data. Metrologia 39 (6) 2002 587-8.
- [6] Kacker R. N., Forbes A., Kessel R., Sommer K. D.: Bayesian posterior predictive p-value of statistical consistency in interlaboratory evaluations. Metrologia 45 (5) 2008 512-23.
- [7] Kacker R. N., Forbes A., Kessel R., Sommer K. D.: Classical and Bayesian interpretation of the Birge test of consistency and its generalized version for correlated results from interlaboratory evaluations. Metrologia 45 (3) 2008 257-64.
- [8] Sładek J., Gawlik K.: Looking for uncertainty of measurement - Virtual Machines based on the Matrix Method using artificial neural networks. IV International Congress on Precision Machining 2007, Sandomierz-Kielce, 2007.
- [9] Delčev, S., Gučević, J., Ogrizović, V.: Necessity of involvement of calibration laboratories in proficiency testing schemes. 11th IMEKO TC14 International Symposium on Measurement and Quality Control, ISMQC 2013 173-6.
- [10] Gromczak K., Gąska A., Ostrowska K., Sładek J., Harmatys W., Gąska P., Gruza M., Kowalski M.: Validation model for coordinate measuring methods based on the concept of statistical consistency control. Precision Engineering, doi:10.1016/j.precisioneng.2016.03.021.
- [11] [N1] EN ISO/IEC 17025:2005 -General requirements for the competence of testing and calibration laboratories.
- [12] [N2] ISO 15530-3:2011 -- Geometrical product specifications (GPS) -- Coordinate measuring machines (CMM): Technique for determining the uncertainty of measurement -- Part 3: Use of calibrated workpieces or measurement standards.
- [13] [N3] ISO/CD TS 15530-2 GPS – Use of multiple measurement strategies.
- [14] [N4] ISO/IEC 17043:2010 - Conformity assessment -- General requirements for proficiency testing.
- [15] [N5] International Vocabulary of Metrology – Basic and General Concepts and Associated Terms (VIM 3rd edition) JCGM 200:2012.
Uwagi
PL
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-874fa0b2-11d0-4444-9bfd-150f586d6f27