Journal of the Korean Society for Precision Engineering (한국정밀공학회지)

Korean Society for Precision Engineering (한국정밀공학회)
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Determination of Process Parameters in Stereolithography using Neural Network

신경망을 이용한 광조형 작업변수 결정

  • Lee, Eun-Deok (Graduate School of Busan National University) ;
  • Sim, Jae-Hyeong (Graduate School of Busan National University) ;
  • Baek, In-Hwan (Mechanical Technology Research Center, Dept.of Mechanical Engineering, Busan National University)
  • 이은덕 (부산대학교 대학원) ;
  • 심재형 (부산대학교 대학원) ;
  • 백인환 (부산대학교 기계공학부, 기계기술연구소)
  • Published : 2002.10.01
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Abstract

In the stereolithography process, the accuracy of product depends on laser power, scan speed, scan width, scan pattern, layer thickness, resin characteristics and so on. Therefore, appropriate process parameters are required for an accurate prototype. This paper presents a method to determine the key process parameters, i.e., laser scan speed, hatching space, and layer thickness based on scan length, scan area, and layer slope. In order to determine these parameters, three neural networks are employed to represent operator’s experience and knowledge. Optimum values on scan speed, hatching space and layer thickness are recommended to improve the surface roughness and build time on the developed SLA machine.

Keywords

References

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