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Effect of increase in r-value on press formability for cold-rolled steel sheet

โœ Scribed by Hidetaka Kawabe; Saiji Matsuoka; Tetsuo Shimizu; Osamu Furukimi; Kei Sakata; Yoshinori Ito

Book ID
108456433
Publisher
Elsevier Science
Year
2002
Tongue
English
Weight
135 KB
Volume
23
Category
Article
ISSN
0389-4304

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In the present study, an artificial neural network (ANN) is used to describe the effects of processing parameters on the evolution of mechanical properties and formability of deep drawing quality (DDQ) steel sheets. This model is a feed forward back-propagation neural network (BPNN) with a set of 19