A PROCESS TO EVALUATE COMMERCIAL SOFTWARE PACKAGES THAT ESTIMATE MEASUREMENT UNCERTAINTY THROUGH SIMULATION

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BEAMAN, J. O. N. A. T. H. A. N. (2011). A PROCESS TO EVALUATE COMMERCIAL SOFTWARE PACKAGES THAT ESTIMATE MEASUREMENT UNCERTAINTY THROUGH SIMULATION. Unc Charlotte Electronic Theses And Dissertations.
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Abstract

Coordinate Measuring Machines (CMMs) can be used to measure a great variety of parts. Essentially, any three-dimensional surface can be evaluated. Characterizing the measurement uncertainty in a way that maintains traceability in accordance with international standards can be difficult since there are many variables that influence a measurement, such as geometry type, nominal scale, fixturing, orientation, number of measuring points, and probe configuration. Task-specific uncertainty is measurement uncertainty related to a particular measurement scenario. The idea of using statisticallybased simulations, in particular Monte-Carlo type simulations, to help determine these uncertainties, has been previously introduced as a practical method. The work in this dissertation describes the concepts and implementation of two commercially available software simulation packages, VCMM and PUNDIT. A process used for evaluating commercial software packages was implemented by way of comparing software estimates for uncertainty to those calculated from calibrated artifact measurement (substitution method) for a variety of measurands. This process indicates directly how well each software performs for the cases tested, but also provides a framework for future verification processes. The results indicate that realistic uncertainty estimates can be attained by simulation, in the context of the experimental conditions, though a broader scope for the simulations, inclusive of multiple conditions for each measurement task, gives improved results.

Details
Author

BEAMAN, JONATHAN

Title

A PROCESS TO EVALUATE COMMERCIAL SOFTWARE PACKAGES THAT ESTIMATE MEASUREMENT UNCERTAINTY THROUGH SIMULATION

Physical Description

1 online resource (131 pages) : PDF

Date

2011

Degree Granting Institution

University of North Carolina at Charlotte

Abstract

Coordinate Measuring Machines (CMMs) can be used to measure a great variety of parts. Essentially, any three-dimensional surface can be evaluated. Characterizing the measurement uncertainty in a way that maintains traceability in accordance with international standards can be difficult since there are many variables that influence a measurement, such as geometry type, nominal scale, fixturing, orientation, number of measuring points, and probe configuration. Task-specific uncertainty is measurement uncertainty related to a particular measurement scenario. The idea of using statisticallybased simulations, in particular Monte-Carlo type simulations, to help determine these uncertainties, has been previously introduced as a practical method. The work in this dissertation describes the concepts and implementation of two commercially available software simulation packages, VCMM and PUNDIT. A process used for evaluating commercial software packages was implemented by way of comparing software estimates for uncertainty to those calculated from calibrated artifact measurement (substitution method) for a variety of measurands. This process indicates directly how well each software performs for the cases tested, but also provides a framework for future verification processes. The results indicate that realistic uncertainty estimates can be attained by simulation, in the context of the experimental conditions, though a broader scope for the simulations, inclusive of multiple conditions for each measurement task, gives improved results.

Genre

doctoral dissertations

Subjects--Topics

Mechanical engineering

Degree

Ph.D.

Keywords

CMM
Simulation
Uncertainty

Subject Area

Mechanical Engineering

Advisor(s)

MORSE, EDWARD

Committee Members

CUTTINO, JAMES
DAVIES, ANGELA
HOCKEN, ROBERT
LUCAS, THOMAS

Degree Note

Thesis (Ph.D.)--University of North Carolina at Charlotte, 2011.

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Rights Holder Information

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Identifier

BEAMAN_uncc_0694D_10243

Permalink

http://hdl.handle.net/20.500.13093/etd:1218