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Title:Analysis of the factors influencing the process of intellectualized control for V-shape free bending of wide sheet metal
Authors: GUAN Ying-ping 1  WANG Feng-qin 2 ZHAO Jun 1 (1.Mechanical Engineering College  Yanshan University Qinhuangdao Hebei 066004 China  2.Capital Iron and Steel Corporation Beijing 100041 China) 
Unit:  
KeyWords: V-shape free bending numerical simulation neural network identification and prediction 
ClassificationCode:TG386.31
year,vol(issue):pagenumber:2005,30(3):35-39
Abstract:
The real-time identification and prediction are the two most important key parts during the intellectualized control of sheet forming.The selection of the input and output parameters for the identification and prediction of the neural network model is vital to the success of intellectualized control and the degree of the control precision.Factors influencing the process of forming and unloading are studied in this paper through finite element numerical simulation of the process of V-shape free bending of wide sheet metal using the software ANSYS.It provides the base for the selection of input and output parameters for the identification and prediction of the neural network model of intellectualized controlling for V-shape free bending of the wide sheet.
Funds:
河北省自然科学基金资助项目(501215)
AuthorIntro:
Reference:
[1]官英平.板材V型自由弯曲智能化控制技术的研究[D].[燕山大学工学博士论文],2004.
[2]LeeJK,KinzelGL,WagonerRH.Proceedingsofthe3ndInternationalConferenceonNumericalSimulationof3DSheetMetal FormingProcesses VerificationofSimulationswithExperiments(NumSheet'96).Dearborn,Michigan,1996:237256.
[3]MakinouchiA.Sheetmetalformingsimulationinindustry[J].JournalofMaterialsProcessingTechnology,1996,60(14):1926.
[4]KjellMattiasson,PerThilderkvist,AndersStrange,AlfSam uelsson.SimulationofSpringbackinSheetMetalForming[J].SimulationofMaterialsProcessing:Theory,Methods andApplication,1995:115124.
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