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Volume 29 Issue 3
Sep.  2013
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Article Navigation >  LASER TECHNOLOGY  > 2005 >  29(3): 244-247

Citation:
shu

Application of artificial neural network in laser sheet metal bending

  • 1.

    School of Mechanical Engineering and Automation, Beijing University of Aeronautics and Astronautics, Beijing 100083, China;

  • 2.

    Institute of Mechanics, the Chinese Academy of Sciences, Beijing 100080, China

  • Received Date: 2004-05-26
    Accepted Date: 2004-08-10
  • Based on the basic theory of artificial neural network,BP network model is founded to predict the highest surface temperature and bending angle in the process of laser sheet metal bending.Experimental result and numerical simulation result verified by experiment are used to train BP network by means of MATLAB software.Sample data regularity of nonlinear is curve fitting through BP network so as to optimize technological parameters and provide effective foundation for actual production.
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  • [1] 王秀凤.激光非熔凝加工技术在板料成形中的应用 [D].北京:北京航空航天大学,2003.42～78,118～127.
    [2] 季忠.板料激光弯曲成形及其数值模拟 [D].西安:西北工业大学,1997.62～67.
    [3] 袁曾任. 人工神经网络及其应用 [M].北京:清华大学出版社,1999.66～131.
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通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

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Application of artificial neural network in laser sheet metal bending

  • 1. School of Mechanical Engineering and Automation, Beijing University of Aeronautics and Astronautics, Beijing 100083, China;
  • 2. Institute of Mechanics, the Chinese Academy of Sciences, Beijing 100080, China
  • Received Date: 2004-05-26
  • Accepted Date: 2004-08-10
  • Available Online: 2005-05-25

Abstract: Based on the basic theory of artificial neural network,BP network model is founded to predict the highest surface temperature and bending angle in the process of laser sheet metal bending.Experimental result and numerical simulation result verified by experiment are used to train BP network by means of MATLAB software.Sample data regularity of nonlinear is curve fitting through BP network so as to optimize technological parameters and provide effective foundation for actual production.

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