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KSME international journal v.18 no.3, 2004년, pp.443 - 452   피인용횟수: 1

Determination of Process Parameters in Stereo lithography Using Neural Network

Lee, Eun-Dok   (Department of Mechanical and Intelligent Systems Engineering, Graduate School, Pusan National UniversityUU0000613  ); Sim, Jae-Hyung   (Department of Mechanical and Intelligent Systems Engineering, Graduate School, Pusan National UniversityUU0000613  ); Kweon, Hyeog-Jun   (School of Automobile and Machine, Sorabol CollegeUU0000681  ); Paik, In-Hwan   (Department of Mechanical Engineering, Pusan National UniversityUU0000613  );
  • 초록

    For stereo lithography process, accuracy of prototypes is related to laser power, scan speed, scan width, scan pattern, layer thickness, resin characteristics and etc. An accurate prototype is obtained by using appropriate process parameters. In order to determine these parameters, the stereolithography (SLA) machine using neural network was developed and efficiency of the developed SLA machine was compared with that of the traditional SLA. Optimum values for scan speed, hatching spacing and layer thickness improved the surface roughness and build time for the developed SLA.


  • 주제어

    Stereolithography .   Process Parameter .   Neural Network .   Surface Roughness .   Build Time.  

  • 참고문헌 (20)

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  • 이 논문을 인용한 문헌 (1)

    1. 2006. "" Journal of mechanical science and technology, 20(2): 251~261     

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