ISSN:
1662-9752
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:
In extrusion stretch bending process, there are many factors which affect springback ofthe workpiece such as mechanical properties of the material, friction condition and processparameters. The springback of same batch of extrusion is different at same forming parametersbecause of the variation of the mechanical properties of the material and the friction condition. Amethod of intelligent control of springback in stretch bending process is proposed by usingANN(artificial neural networks). The online identification model of the mechanical properties ofthe material and friction coefficient and the online prediction control model of springback ofworkpiece in stretch bending process are established by using ANN ,which are trained by the dataof analysis calculation. It realizes the intelligent control on springback of stretch bending to onlineidentify the material properties and friction coefficient and predict springback and adjust processparameters dynamically through the whole process of stretch bending. The results from theexperiment state that the intelligent control method can suit the variation of mechanical propertiesof material and friction condition and improve the geometry precision
Type of Medium:
Electronic Resource
URL:
http://www.tib-hannover.de/fulltexts/2011/0528/02/14/transtech_doi~10.4028%252Fwww.scientific.net%252FMSF.532-533.604.pdf
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