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http://dx.doi.org/10.7315/CDE.2016.224

A Pre-Visualization Method for FDM 3D Printing Based on Perlin Noise  

Lim, Jae-Gwang (Department of Computer Science and Engineering, Dongguk University)
Jang, Seung-Ho (Department of Computer Science and Engineering, Dongguk University)
Hong, Jeong-Mo (Department of Computer Science and Engineering, Dongguk University)
Publication Information
Korean Journal of Computational Design and Engineering / v.21, no.3, 2016 , pp. 224-233 More about this Journal
Abstract
We propose a new method to visualize 3D models for FDM (Fused Deposition. Modeling) printing that appearance of the printed results can be predicted more realistically as that the efficiency of the modeling-printing process can be improved. The layered nature of horizontal slicing and the vibratory nozzle movements of customer-level FDM 3D printers leaving the characteristic patterns of noisy stripes on the surfaces of printed objects make difficulties in prediction of printed result in company with the thermal contraction of filament material. First, our method analyses the G-codes generated by common slicers to obtain proper outlines and take advantages of a modified version of Perlin noise based texturing method for rendering efficiency and enough number of control parameters on the visual details. The results show improved rendering details of pre-visualization of FDM printing.
Keywords
3D Printing; FDM; Layered Manufacturing; Texturing; Visualization;
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Times Cited By KSCI : 1  (Citation Analysis)
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