Study on the Application of the Combined Prediction Modeling Method to Thermal Error Modeling on NC Machine Tools

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dc.contributor.authorLi, Y.X.
dc.contributor.authorYang, J.G.
dc.contributor.authorZhang, H.T.
dc.contributor.authorTuryagyenda, G.
dc.date.accessioned2023-05-05T14:53:08Z
dc.date.available2023-05-05T14:53:08Z
dc.date.issued2007
dc.description.abstractDue to the complexity of machine tool thermal errors affected by various factors, a new combining prediction model, based on the theory of gery system GM (1,1) model, is applied to the trend prediction of machine tool thermal errors. The degree of smoothness of primary data sequence is first improved by function transform method and sequentially grey system GM (1,1) model is established; second, time series analysis model is established by remnant sequence of GM (1,1) model to amend the precision of grey system GM (1,1) model. Thus, the precision of combining prediction model is further improved. Through the prediction study on thermal error modeling in a spot NC turning center, testing results showed that combining prediction model can highly improve machine tool’s prediction precision and make it more effective for real-time compensation of machine tool thermal error.en_US
dc.identifier.citationLi, Y. X., Yang, J. G., Li, Y. Y., Zhang, H. T., & Turyagyenda, G. (2007). Study on the Application of the Combined Prediction Modeling Method to Thermal Error Modeling on NC Machine Tools. In Key Engineering Materials (Vol. 329, pp. 779-784). Trans Tech Publications Ltd.http://dx.doi.org/10.4028/www.scientific.net/KEM.329.779en_US
dc.identifier.urihttps://nru.uncst.go.ug/handle/123456789/8626
dc.language.isoenen_US
dc.publisherTrans Tech Publications Ltden_US
dc.subjectNC Machine Toolsen_US
dc.subjectThermal Error Modelingen_US
dc.subjectCombined Prediction Modeling Methoden_US
dc.titleStudy on the Application of the Combined Prediction Modeling Method to Thermal Error Modeling on NC Machine Toolsen_US
dc.typeArticleen_US
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