In:
Materials Science Forum, Trans Tech Publications, Ltd., Vol. 532-533 ( 2006-12), p. 604-607
Abstract:
In extrusion stretch bending process, there are many factors which affect springback of
the workpiece such as mechanical properties of the material, friction condition and process parameters. The springback of same batch of extrusion is different at same forming parameters
because of the variation of the mechanical properties of the material and the friction condition. A method of intelligent control of springback in stretch bending process is proposed by using
ANN(artificial neural networks). The online identification model of the mechanical properties of the material and friction coefficient and the online prediction control model of springback of
workpiece in stretch bending process are established by using ANN ,which are trained by the data of analysis calculation. It realizes the intelligent control on springback of stretch bending to online
identify the material properties and friction coefficient and predict springback and adjust process parameters dynamically through the whole process of stretch bending. The results from the
experiment state that the intelligent control method can suit the variation of mechanical properties of material and friction condition and improve the geometry precision.
Type of Medium:
Online Resource
ISSN:
1662-9752
DOI:
10.4028/www.scientific.net/MSF.532-533
DOI:
10.4028/www.scientific.net/MSF.532-533.604
Language:
Unknown
Publisher:
Trans Tech Publications, Ltd.
Publication Date:
2006
detail.hit.zdb_id:
2047372-2
