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Application of grey prediction for predicting the measuring point for a CMM

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Abstract

Methods currently used for predicting the measuring point in tracing and measurement are mostly based on the extrapolation technique, which extends the curve constructed from the measured points and the direction vector of the measuring point. This paper introduces grey prediction into the process of tracing and measurement for a CMM. In this method, both the coordinates and the direction vector can be generated in one procedure. The algorithm, combined with the residual sequence prediction, is more efficient and easier to implement than any other method currently used.

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Acknowledgements

The paper presented here is supported by the China Aeronautic Foundation (No. 03H52059) , the Excellence and Innovation Funds for PhD Dissertations of Nanjing University of Aeronautics and Astronautics (No. BCXJ03-03) and the Science Research Foundation of Southern Yangtze University (2004).

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Correspondence to Xue-liang Ping.

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Ping, Xl., Liu, Sl., Li, Jl. et al. Application of grey prediction for predicting the measuring point for a CMM. Int J Adv Manuf Technol 32, 288–292 (2007). https://doi.org/10.1007/s00170-005-0335-z

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  • DOI: https://doi.org/10.1007/s00170-005-0335-z

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