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James G. Salsbury - One of the best experts on this subject based on the ideXlab platform.

  • Measurement Uncertainty in the performance verification of indicating measuring instruments
    Precision Engineering, 2012
    Co-Authors: James G. Salsbury, Edward P. Morse
    Abstract:

    Abstract This paper is concerned with Measurement Uncertainty in the performance verification of the metrological characteristics of indicating measuring instruments to specified tolerances, often called maximum permissible errors (MPE). Performance verification differs from other types of calibrations in that the Measurement does not necessarily result in an assigned quantity value. When a Measurement involves assigning a quantity value, as is typical with the calibration of material measures or inspection of features on commercial workpieces, the measurand is different than in performance verification. The research literature and published standards and practice for Measurement Uncertainty typically only address the Measurement Uncertainty associated with assigned quantity values. When these general approaches to Measurement Uncertainty are applied to performance verification as well, the Measurement Uncertainty is not properly estimated and therefore incorrect practice is wide spread in the calibration industry. The purpose of this paper is to clarify the measurand in performance verification and to develop an associated general Measurement Uncertainty model. Examples are presented that highlight some cases where a measurand associated with performance verification results in a very different Measurement Uncertainty than when the measurand is associated with the assignment of a quantity value. Some issues for future work are also identified, particularly for consideration in the standardization of specifications for indicating measuring instruments.

  • Design and analysis of experiments in CMM Measurement Uncertainty study
    Precision Engineering, 2007
    Co-Authors: Chang-xue Jack Feng, James G. Salsbury, Anthony L. Saal, Arnold R. Ness, Gary C.s. Lin
    Abstract:

    In applying a coordinate measuring machine to measure a mechanical object, many factors affect the Measurement Uncertainty. Although a number of studies have been reported in evaluating Measurement Uncertainty, few have applied the factorial design of experiments (DOE) to examine the Measurement Uncertainty, as defined in the ISO Guide to the Expression of Uncertainty in Measurement (GUM). This research applies the DOE approach to investigate the impact of the factors and their interactions on the Uncertainty while following the fundamental rules of the GUM. The Measurement Uncertainty of the location of a hole measured by a coordinate measuring machine is used to demonstrate our methodology.

Adriaan M. H. Van Der Veen - One of the best experts on this subject based on the ideXlab platform.

  • Measurement Uncertainty and the use of reference materials
    Accreditation and Quality Assurance, 2003
    Co-Authors: Adriaan M. H. Van Der Veen
    Abstract:

    The use of (certified) reference materials and quality control materials can form a suitable basis for evaluating Measurement Uncertainty of routine Measurements. In particular when these materials are used for quality control purposes, it is not always evident how the quality control data can be used in the Uncertainty budget of a routine Measurement. Current guidance documents on the evaluation of Measurement Uncertainty and the use of reference materials treat this subject only in part, or in very generic terms. ISO/REMCO has established a new working group that will provide practical guidance and examples on how to use quality control data in the evaluation of Measurement Uncertainty. A short introduction to the subject is given.

  • Error analysis in the evaluation of Measurement Uncertainty
    Metrologia, 2003
    Co-Authors: Adriaan M. H. Van Der Veen, Maurice G Cox
    Abstract:

    The role of statistical error modelling as a tool in the evaluation of Measurement Uncertainty is discussed. The discussion is limited to the use of error modelling as a vehicle to evaluate Measurement Uncertainty in agreement with the Guide to the Expression of Uncertainty in Measurement. The discussion is based on practical experience gained in developing models for evaluating Measurement Uncertainty both in calibration and in testing. Until now, it has not been widely recognized that the development of Uncertainty models may benefit from the use of classical error analysis techniques. The problems in modelling Measurements are such that, based on current practice, this activity is a profession with its own merits and peculiarities. An application of error modelling is given by showing how the performance of laboratories can be assessed in linked interlaboratory comparisons.

Edward P. Morse - One of the best experts on this subject based on the ideXlab platform.

  • Measurement Uncertainty in the performance verification of indicating measuring instruments
    Precision Engineering, 2012
    Co-Authors: James G. Salsbury, Edward P. Morse
    Abstract:

    Abstract This paper is concerned with Measurement Uncertainty in the performance verification of the metrological characteristics of indicating measuring instruments to specified tolerances, often called maximum permissible errors (MPE). Performance verification differs from other types of calibrations in that the Measurement does not necessarily result in an assigned quantity value. When a Measurement involves assigning a quantity value, as is typical with the calibration of material measures or inspection of features on commercial workpieces, the measurand is different than in performance verification. The research literature and published standards and practice for Measurement Uncertainty typically only address the Measurement Uncertainty associated with assigned quantity values. When these general approaches to Measurement Uncertainty are applied to performance verification as well, the Measurement Uncertainty is not properly estimated and therefore incorrect practice is wide spread in the calibration industry. The purpose of this paper is to clarify the measurand in performance verification and to develop an associated general Measurement Uncertainty model. Examples are presented that highlight some cases where a measurand associated with performance verification results in a very different Measurement Uncertainty than when the measurand is associated with the assignment of a quantity value. Some issues for future work are also identified, particularly for consideration in the standardization of specifications for indicating measuring instruments.

Maurice G Cox - One of the best experts on this subject based on the ideXlab platform.

  • Error analysis in the evaluation of Measurement Uncertainty
    Metrologia, 2003
    Co-Authors: Adriaan M. H. Van Der Veen, Maurice G Cox
    Abstract:

    The role of statistical error modelling as a tool in the evaluation of Measurement Uncertainty is discussed. The discussion is limited to the use of error modelling as a vehicle to evaluate Measurement Uncertainty in agreement with the Guide to the Expression of Uncertainty in Measurement. The discussion is based on practical experience gained in developing models for evaluating Measurement Uncertainty both in calibration and in testing. Until now, it has not been widely recognized that the development of Uncertainty models may benefit from the use of classical error analysis techniques. The problems in modelling Measurements are such that, based on current practice, this activity is a profession with its own merits and peculiarities. An application of error modelling is given by showing how the performance of laboratories can be assessed in linked interlaboratory comparisons.

Raffaello Levi - One of the best experts on this subject based on the ideXlab platform.

  • Measurement Uncertainty assessment of coordinate measuring machines by simulation and planned experimentation
    Cirp Journal of Manufacturing Science and Technology, 2011
    Co-Authors: Francesco Aggogeri, Giulio Barbato, Emanuele Modesto Barini, Gianfranco Genta, Raffaello Levi
    Abstract:

    Abstract Current standard procedures for the evaluation of Measurement Uncertainty of Coordinate Measuring Machines (CMM) being not fully satisfactory, other methods are considered. Conformity to geometric and dimensional tolerances, specified for an industrial workpiece previously involved in a comprehensive round robin test, was checked with CMM. Measurement Uncertainty was also assessed exploiting a simulation method, developed at Politecnico di Torino, offering several advantages in terms of CMM operability and substantial cost savings. Estimates of Measurement variability due to single and combined effects of factors considered, obtained from testing in a representative verification, are discussed in the light of results of simulation.