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Simulation Methods for Assessing Accuracy of Measurements

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Coordinate Metrology

Part of the book series: Springer Tracts in Mechanical Engineering ((STME))

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Abstract

This chapter presents simulation methods for assessing the accuracy of coordinate measurements, which are considered as a continuously tested alternative to the classic methods described in Chap. 3. It describes the bases for modeling measuring systems. It also presents the concept of CMM error identification, which is based on the measurement of reference objects, as a basis for the construction of a virtual measuring machine. Moreover, it reports the concept of virtual CMM as developed by the National Metrology Institute of Germany (in German Physikalisch-Technische Bundesanstalt, PTB), the basis for the ISO/TS 15530-4:2008 standard, using plate standards and models developed in the Laboratory of Coordinate Metrology at Cracow University of Technology (LCM CUT). These include a universal model based on the identification of component errors, other models based on further developments of the matrix method (MM), and on the use of artificial neural networks and the Monte Carlo method-based model. In the last case, both the concept of testing of so-called residual errors and the new principle for the development of virtual CMM for systems using CAA software correction is given. In addition, the description of the virtual model of a coordinate measuring machine for an articulated arm, which is described in Chap. 4, is presented. Here, the rules for the application of measuring system simulators for the task of forecasting coordinate measurement accuracy are also investigated. This chapter discusses the results of research aimed at verifying the correctness of the developed models and the software used to implement virtual CMM and the virtual articulated arm CMM in practice.

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    Jerzy A. Sładek

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Sładek, J.A. (2016). Simulation Methods for Assessing Accuracy of Measurements. In: Coordinate Metrology . Springer Tracts in Mechanical Engineering. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-48465-4_5

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