Virtual CMM-based model for uncertainty estimation of coordinate measurements performed in industrial conditions

Abstract Due to the rigorous requirements for implementation of virtual models of CMMs, such models are primarily used in high-profile calibration laboratories. This paper presents a novel methodology for implementing a Virtual CMM model capable of correct uncertainty determination for measurements performed in less stable, industrial conditions. Verification results obtained under varying ambient conditions are also presented to prove the correctness of proposed methodology.

[1]  Timothy Hasselman,et al.  A top-down approach to calibration, validation, uncertainty quantification and predictive accuracy assessment , 2008 .

[2]  Raghu N. Kacker,et al.  Classical and Bayesian interpretation of the Birge test of consistency and its generalized version for correlated results from interlaboratory evaluations , 2008 .

[3]  Gianfranco Genta,et al.  Measurement uncertainty assessment of Coordinate Measuring Machines by simulation and planned experimentation , 2011 .

[4]  Adam Gąska,et al.  Modeling of the residual kinematic errors of coordinate measuring machines using LaserTracer system , 2014 .

[5]  Robert Schmitt,et al.  Geometric error measurement and compensation of machines : an update , 2008 .

[6]  Joaquín Barreiro,et al.  Uncertainties on CMMs by Applying a Model of Corrections Based on a Global Metric, Monte Carlo and Neural Network Methods☆ , 2015 .

[7]  Gustavo Daniel Donatelli,et al.  An experimental method for assessing the contribution of the production process variations to the task-specific uncertainty of coordinate measurements , 2012 .

[8]  P. Pedone,et al.  Low-cost interferometric compensation of geometrical errors , 2009 .

[9]  Giovanni Maizza,et al.  Measurement of elastic modulus by instrumented indentation in the macro-range: Uncertainty evaluation , 2015 .

[10]  Adam Gąska,et al.  Validation model for coordinate measuring methods based on the concept of statistical consistency control , 2016 .

[11]  J. Sładek,et al.  Evaluation of coordinate measurement uncertainty with use of virtual machine model based on Monte Carlo method , 2012 .

[12]  Robert G. Wilhelm,et al.  Task Specific Uncertainty in Coordinate Measurement , 2001 .

[13]  Robert Hocken,et al.  Coordinate Measuring Machines and Systems , 2011 .

[14]  B. J. Alvarez,et al.  A Statistical Approach To Prediction Of The CMM Drift Behaviour Using A Calibrated Mechanical Artefact , 2015 .

[15]  Raghu N. Kacker,et al.  Bayesian posterior predictive p-value of statistical consistency in interlaboratory evaluations , 2008 .