DocumentCode :
3566987
Title :
A study to detect a material deposition status in fused deposition modeling technology
Author :
Chiyen Kim ; Espalin, David ; Cuaron, Alejandro ; Perez, Mireya A. ; MacDonald, Eric ; Wicker, Ryan B.
Author_Institution :
W.M. Keck Center for 3D Innovation, Univ. of Texas at El Paso, El Paso, TX, USA
fYear :
2015
Firstpage :
779
Lastpage :
783
Abstract :
Fused deposition modeling (FDM) technology, one of the most commonly used by 3D printers, builds parts layer-by-layer by heating and extruding thermoplastic filament. However, building failures such as nozzle clogging, substrate deformation, etc. often occur when using FDM systems. All of these failures are unpredictable and undetectable, resulting in lost time and money. The present research studies a methodology to detect the material deposition status to solve this crux of FDM 3D printing by sensing the inner pressure change of the liquefied material. The paper hypothesized that the change in deposition status of the FDM system affects the current supplied to the feeding motor in the extrusion head due to a chain reaction. This was corroborated by experiments which investigated how supplied current reacts when an unexpected substance invades the deposition area during a build.
Keywords :
electric motors; extrusion; printers; rapid prototyping (industrial); three-dimensional printing; 3D printers; FDM 3D printing system; chain reaction; extrusion head; feeding motor; fused deposition modeling technology; heating; inner pressure change; liquefied material; material deposition status detection; nozzle clogging; substrate deformation; thermoplastic filament; Buildings; Current measurement; Feeds; Frequency division multiplexing; Surface treatment; Technological innovation; Three-dimensional displays;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Intelligent Mechatronics (AIM), 2015 IEEE International Conference on
Type :
conf
DOI :
10.1109/AIM.2015.7222632
Filename :
7222632
Link To Document :
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