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Slide-bending Formation of Thin Metal Sheet by Using Force Control
Hikaru Nishimura,Hiroshi Harada,Yasuo Marumo,Teruo Yamaguchi 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8
This paper describes slide-bending formation of thin metal sheet by using an industrial robot. The formation of parts made of very thin sheets has become increasingly important following the miniaturization of industrial products, including electrical and mechanical devices. A new process called a slide-bending formation was proposed. The authors have made an automatic slide-bending formation system which consists of an industrial robot, z-axis stage, a force sensor and a CCD camera. The bending formation of metal sheet made by stainless steel was investigated system atically. From the results of the experiment, it is shown that the trajectory of the z-stage was controlled so that the reactive force is kept constant. The bending angle of the thin metal sheet can be controlled by the applied load.
Slide-bending Formation of Metallic Sheet Using Neural Network
Masaki Hanazono,Hikaru Nishimura,Hiroshi Harada,Yasuo Marumo,Teruo Yamaguchi 제어로봇시스템학회 2010 제어로봇시스템학회 국제학술대회 논문집 Vol.2010 No.10
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.
Electromyogram Signal Processing by Using M-transform
Hiroshi Harada,Hiroshi Kashiwagi,Hikaru Nishimura,Yoshifumi Ohbuchi,Teruo Yamaguchi 제어로봇시스템학회 2008 제어로봇시스템학회 국제학술대회 논문집 Vol.2008 No.10
The authors propose a new method for reducing both impulsive noise and white noise by use of M-transform and wavelet shrinkage. M-transform is a new signal transformation proposed by the authors, and any periodic time signal can be considered as the output of a filter whose input is an M-sequence. By using the properties of M-transform, it is shown that both impulsive noise and white noise can be eliminated by use of first M-transform and then wavelet shrinkage. In this paper, the proposed noise reduction method is applied to the electromyogram signal which sometimes contains many impulsive noise and white noise. From the results of the experiment, it is shown that the proposed method is very efficient for impulsive noise reduction.