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Determination of Process Parameters in Stereo lithography Using Neural Network  

Lee, Eun-Dok (Department of Mechanical and Intelligent Systems Engineering, Graduate School, Pusan National University)
Sim, Jae-Hyung (Department of Mechanical and Intelligent Systems Engineering, Graduate School, Pusan National University)
Kweon, Hyeog-Jun (School of Automobile and Machine, Sorabol College)
Paik, In-Hwan (Department of Mechanical Engineering, Pusan National University)
Publication Information
Journal of Mechanical Science and Technology / v.18, no.3, 2004 , pp. 443-452 More about this Journal
Abstract
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.
Keywords
Stereolithography; Process Parameter; Neural Network; Surface Roughness; Build Time;
Citations & Related Records
Times Cited By KSCI : 5  (Citation Analysis)
연도 인용수 순위
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