ISSN:
1013-9826
Source:
Scientific.Net: Materials Science & Technology / Trans Tech Publications Archiv 1984-2008
Topics:
Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics
Notes:
Due to the complexity of machine tool thermal errors affected by various factors, a newcombining prediction model, based on the theory of gery system GM (1,1) model, is applied to thetrend prediction of machine tool thermal errors. The degree of smoothness of primary data sequenceis first improved by function transform method and sequentially grey system GM (1,1) model isestablished; 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 combiningprediction model is further improved. Through the prediction study on thermal error modeling in aspot NC turning center, testing results showed that combining prediction model can highly improvemachine tool’s prediction precision and make it more effective for real-time compensation ofmachine tool thermal error
Type of Medium:
Electronic Resource
URL:
http://www.tib-hannover.de/fulltexts/2011/0528/01/52/transtech_doi~10.4028%252Fwww.scientific.net%252FKEM.329.779.pdf
Permalink