DocumentCode :
2975348
Title :
Intelligent Control System of Deep Drawing for Rectangular Box
Author :
Ma, Rui ; Zhao, Jun
Author_Institution :
Coll. of Mech. Eng., Yanshan Univ., Qinhuangdao, China
fYear :
2010
fDate :
25-27 June 2010
Firstpage :
5285
Lastpage :
5288
Abstract :
Based on the research achievements of intelligent deep drawing for an axis-symmetric part, the key technologies of intelligent deep drawing for a rectangular box are discussed in this paper. Signal monitoring and control can be realized nicely in the process of deep drawing by applying the technology of LabVIEW VI (virtual instrument). Real-time identification of material properties can be achieved with artificial neural network, and the network error is stepped downward to 2% by the application of LM (Levenberg-Marquarat) optimization algorithm. The real time predication of optimized processing parameters comes true based on predictive principle, in which the error of predication is within 10%. Based on the concept of real time monitoring, real time identifying, real time predicating and real time controlling, a control system of intelligent deep drawing for rectangular box has been developed recently.
Keywords :
deep drawing; neurocontrollers; process control; production engineering computing; virtual instrumentation; LabVIEW VI; Levenberg-Marquarat optimization algorithm; artificial neural network; axis-symmetric part; intelligent control system; intelligent deep drawing; material property; real time controlling; real time identifying; real time monitoring; real time predicating; rectangular box; signal monitoring; virtual instrument; Artificial intelligence; Artificial neural networks; Force; Intelligent control; Mechanical engineering; Parameter estimation; Real time systems; artificial neural network; deep drawing; intelligent control system; rectangular box;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical and Control Engineering (ICECE), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-6880-5
Type :
conf
DOI :
10.1109/iCECE.2010.1283
Filename :
5629630
Link To Document :
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