Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/84377
Title: New Network Based Finite Element Method For Stereolithography Process Analysis
Authors: De Carvalho, Jonas
Cunico, Marlon Wesley Machado
Keywords: Stereolithography Process
Additive Manufacturing
Issue Date: 2016
Source: Cunico, M. W. M., & De Carvalho, J. (2016). New Network Based Finite Element Method For Stereolithography Process Analysis. Proceedings of the 2nd International Conference on Progress in Additive Manufacturing (Pro-AM 2016), 551-556.
Conference: Proceedings of the 2nd International Conference on Progress in Additive Manufacturing (Pro-AM 2016)
Abstract: The additive manufacturing technologies have become more popular in the past years besides playing a roll more and more important along the years. In spite of that stereolithography process are still complex, hard to optimize. In addition to that, dimensional distortion and warpening might be evidenced in several cases because of material shrinkage during the curing phase. On the other hand, the current methods for analysis and simulation only considers unidirectional elements and do not considers material diffractions and incidence angle. For that reason, the current work proposes a new finite element method for stereolithography process using network based elements. In this work, the finite element method is introduced and the interaction between polymerization straight lines and between layers were analysed. In this case, the shrinkage ratio and conversion degree were studied as a function of laser intensity, raster velocity, material formulation. By the end, we indicated the suitable process parameter in order to avoid dimensional distortion and warpening.
URI: https://hdl.handle.net/10356/84377
http://hdl.handle.net/10220/41777
Research Centres: Singapore Centre for 3D Printing 
Rights: © 2016 by Pro-AM 2016 Organizers. Published by Research Publishing, Singapore
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:Pro-AM Conference Papers

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