%0 Journal Article
%T Application of Neural Network in Precision Prediction of Hat-Section Profiles in Rotary Draw Bending<br>
%A Xuechun LI
%A Yuying YANG
%A Zhaohai JIN
%A Junting LIU
%A Shunping LI
%A <br>
%J 材料科学技术学报
%D 2001
%I 
%X It is difficult to control the accuracy of hat-section profile rotary-draw bent products because their shapes are complex and many factors influence the forming process. In this paper, a multi-layer feed-forward neural network based on improved BP (back propagation) algorithm is adopted to study the influence law of the main material properties and forming parameters on the accuracy of hat-section profile forming process. Rotary draw-bending precision prediction is realized and the technology parameters in the forming process are controlled according to the given precision.
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=84529CA2B2E519AC&jid=324DC3CAB22330DB19158AE0A9B7BFA5&aid=CBD8CEDF39FB6F0F768E8CF610FB0A75&yid=14E7EF987E4155E6&vid=BCA2697F357F2001&iid=CA4FD0336C81A37A&sid=205BE674D84A456D&eid=09E495F616948E78&journal_id=1005-0302&journal_name=材料科学技术学报&referenced_num=0&reference_num=0