Application of Simulation Software to Coordinate Measurement Uncertainty Evaluations

Abstract: Uncertainty evaluations for coordinate measuring machine (CMM) metrology are problematic due to the number, ranges, interactions and generally unknown sensitivity coefficients of the parameters that can influence the measurement result. The situation is particularly difficult when a task-specific uncertainty is required and poses problems for both auditors and metrology practitioners. Auditors often lack satisfactory tools for a comprehensive assessment of a client's claims of traceability. Measurement professionals, similarly, have difficulty demonstrating compliance with measurement traceability requirements and, in addition, can find themselves at a real economic disadvantage if reliable measurement uncertainties are not known. In this paper, the historical perspective of, the motivations for, and the necessity of task-specific uncertainty evaluations are briefly discussed. This is followed by a presentation of the requirements and desirable features of a credible method for task-specific CMM uncertainty evaluation. Next, a description of the major design features of a practical software application for evaluating uncertainties of CMM measurements are presented. This is concluded by presenting several application examples and case studies which demonstrate that, in the arena of task-specific CMM uncertainty evaluation, simulation methods exhibit notable strength and versatility.

[1]  Ng-Loy Wee Loon Singapore , 2008, Intellectual Property in Asia.

[2]  A. Weckenmann,et al.  The Influence of Measurement Strategy on the Uncertainty of CMM-Measurements , 1998 .

[3]  Leonard Steinborn,et al.  International Organization for Standardization ISO/IEC 17025 General Requirements for the Competence of Testing and Calibration Laboratories , 2004 .

[4]  G. G. Stokes "J." , 1890, The New Yale Book of Quotations.

[5]  Alessandro Balsamo,et al.  Evaluation of CMM Uncertainty Through Monte Carlo Simulations , 1999 .

[6]  K. D. Summerhays,et al.  Methods for evaluation of systematic geometric deviations in machined parts and their relationships to process variables , 1999 .

[7]  F. Wäldele,et al.  Coordinate measuring machines in the calibration chain , 1995 .

[8]  P. Ciarlini,et al.  Advanced Mathematical Tools in Metrology III , 1997 .

[9]  J. D. T. Tannock Coordinate measuring machines , 1992 .

[10]  Daniel S. Sawyer,et al.  The Validation of CMM Task Specific Measurement Uncertainty Software | NIST , 2003 .

[11]  William T. Estler,et al.  The Calculation of CMM Measurement Uncertainty via The Method of Simulation by Constraints | NIST , 1997 .

[12]  R. Kirk 2 Experimental Design , 2009 .

[13]  H Han Haitjema,et al.  Virtual CMM using Monte Carlo methods based on frequency content of the error signal , 2001, Lasers in Metrology and Art Conservation.

[14]  J. M. Baldwin,et al.  Optimizing discrete point sample patterns and measurement data analysis on internal cylindrical surfaces with systematic form deviations , 2002 .

[15]  E. Iso,et al.  Measurement Uncertainty and Probability: Guide to the Expression of Uncertainty in Measurement , 1995 .