Nd:YAG 레이저를 이용한 스텐실 절단공정- (I) 신경회로망에 의한 절단폭 예측

Stencil cutting process by Nd:YAG laser- (I) Estimation of kerf width by neural network

  • 신동식 (경북대학교 대학원 기계공학과) ;
  • 이제훈 (한국기계연구원 레이저기술연구그룹) ;
  • 한유희 (한국기계연구원 레이저기술연구그룹) ;
  • 이영문 (경북대학교 기계공학부)
  • 발행 : 2000.12.01

초록

The stencil is a thin stainless sheet in which a pattern is formed, which is placed on a surface of plate to reproduce the pattern of electric circuit. Conventionally the stencil has been produced by etching process. This process has many anti-environmental factors. In this study, Nd : YAG laser cutting process has been applied for stencil manufacturing. The study is focused on estimating kerf width of laser cut stencil by E.B.P.(Error Back-Propagation). This algorithm is good for estimating target value from input value. In this paper, target value was kerf width, and input values were frequency, pulse width, cutting speed and laser power. E.B.P. after teaming input and target could estimate kerf width from some variables precisely.

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