Research on Intelligent Deep Drawing Technology of Sheet Metal

Autor: Jun Zhao, Xiao Ting Peng, Rui Ma
Rok vydání: 2010
Předmět:
Zdroj: Advanced Materials Research. :120-125
ISSN: 1662-8985
DOI: 10.4028/www.scientific.net/amr.97-101.120
Popis: The intelligent sheet metal forming is a new technology. In this paper, take cone-shaped wall pieces and cone-box shaped part as an example , the key technologies in real-time monitoring, real-time identifying, real-time forecasting and real-time controlling are studied, which gradually is the theoretical basis for intelligent deep drawing control. The results can be more satisfactory when the artificial neural network is used in real-time identifying and real-time forecasting, when in the blank hold force control phase load curve is along critical rupture curve. In the course of this study the intelligent deep drawing experimental system is developed, in which the better identifying forecasting accuracy is showed. The research laid that the intelligent control method for deep drawing of a simple shape parts will be the successful sample of complex parts.
Databáze: OpenAIRE