MODELING AND ASSESSMENT OF LARGE CMMs' ACCURACY

Jerzy Sladek, Marcin Krawczyk

Abstract

In this paper presented is the research on developing of a model of CMM based on application of artificial neural networks. The work focused on developing a conception of large CMMs’ errors. Described here is the large CMMs’ error identification method that utilises standard plate and laser interferometer, and presented are the possibilities of its application for development of measurement machine model. So developed method enables to carry out assessment of large CMMs’ accuracy, while related to it a CMM model is being utilised for the realised measurements’ accuracy assessment.

Keywords

Large CMM, artificial neural network, virtual CMM, accuracy

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PWC-2003-TC14-030.pdf

DOI

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IMEKO TC

TC14 - Measurement of Geometrical Quantities

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