IE interfaces (산업공학)

Korean Institute of Industrial Engineers (대한산업공학회)
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Determination of Machining Parameters for Two Dimensional Electrical Discharge Machining using Neural Networks

신경망을 이용한 2차원 방전가공 조건선정

  • 이건범 (홍성기능대학 생산기계기술학과) ;
  • 주상윤 (울산대학교 산업공학과) ;
  • 왕지남 (아주대학교 기계 및 산업공학부)
  • Received : 19970700
  • Published : 1998.03.31
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Abstract

In this paper, two parts of neural networks were proposed for determination of optimal EDM parameters. One is pattern recognition neural network that can be selecting expert neural network suitable to the EDM mode. The other is expert neural network that can be determining optimal EDM parameters such as pulse on time and pulse off time. Prior to determination of EDM parameters, Peak current, which is related to the EDM area closely, determined base on EDM area that is calculated from CAD data, firstly. Then, the other EDM parameters determined by the expert neural network that is selected to the EDM mode.

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