NDLI: Intelligent Control System of Deep Drawing for Rectangular Box

Content Provider	IEEE Xplore Digital Library
Author	Rui Ma Jun Zhao
Copyright Year	2010
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.
Starting Page	5285
Ending Page	5288
File Size	477876
Page Count	4
File Format	PDF
ISBN	9781424468805
e-ISBN	9781424468812
DOI	10.1109/iCECE.2010.1283
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-06-25
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Real time systems Rectangular box Parameter estimation Force Artificial neural networks Deep drawing Intelligent control system Artificial neural network Mechanical engineering Artificial intelligence Intelligent control
Content Type	Text
Resource Type	Article

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