Slide-bending formation of metallic sheet using neural network

This paper describes slide-bending formation of metallic sheet by using a neural network. The formation of parts made of very thin metallic sheets has become increasingly important miniaturizing industrial products, including electrical and mechanical devices. One of the authors proposed a new metho...

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Bibliographic Details
Published inICCAS 2010 pp. 34 - 37
Main Authors Hanazono, Masaki, Nishimura, Hikaru, Harada, Hiroshi, Marumo, Yasuo, Yamaguchi, Teruo
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2010
Subjects
Artificial neural networks
Bending
Force control
Force sensor
Industrial robot
Metals
Neural network
Robots
Shape
Slide-bending process
Thickness measurement
Training
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Summary:This paper describes slide-bending formation of metallic sheet by using a neural network. The formation of parts made of very thin metallic sheets has become increasingly important miniaturizing industrial products, including electrical and mechanical devices. One of the authors proposed a new method called a slide-bending formation method for the bending of the metallic sheet. In this method, the shape of a metallic sheet after forming can be decided depending on various parameters. However, it is difficult to select optimal parameters. In order to solve this problem, we propose to use a neural network to determine parameters. From the results of the experiment, it is shown that both the bending angle and the curvature radius of the metallic foil can be controlled by the proposed method.
ISBN:1424474531
9781424474530
DOI:10.1109/ICCAS.2010.5669949