A dynamic model for nozzle clog monitoring in fused deposition modelling
| Autor: | Geok Soon Hong, Yoke San Wong, Yedige Tlegenov |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Physics
0209 industrial biotechnology business.industry Mechanical Engineering Plastics extrusion Nozzle Process (computing) Mechanical engineering 3D printing 02 engineering and technology 021001 nanoscience & nanotechnology Industrial and Manufacturing Engineering Vibration 020901 industrial engineering & automation Electronic engineering Deposition (phase transition) 0210 nano-technology business Beam (structure) Block (data storage) |
| Zdroj: | Rapid Prototyping Journal. 23:391-400 |
| ISSN: | 1355-2546 |
| DOI: | 10.1108/rpj-04-2016-0054 |
| Popis: | Purpose Fused deposition modelling (FDM) is one of the most popular additive manufacturing processes, and is widely used for prototyping and fabricating low-cost customized parts. Current FDM machines have limited techniques to monitor process conditions to minimize process errors, such as nozzle clogging. Nozzle clogging is one of the most significant process errors in current FDM machines, and may cause serious consequences such as print failure. This paper aims to present a physics-based dynamic model suitable for monitoring nozzle clogging in FDM machines. Design/methodology/approach Liquefier mount of an FDM extruder is analysed as a beam excited by a uniform loading distributed over a partial length. Boundary conditions and applied loads for a direct-type FDM extruder are identified and discussed. Simulation of nozzle clogging was performed by using nozzles of different diameters from 0.5 to 0.2 mm, in step change of 0.1 mm. Sets of experiments were carried out by measuring vibrations of the liquefier block mount during FDM extrusion. Findings The mount of a liquefier block in an FDM extruder can be used to place a vibration sensor to monitor process errors such as nozzle clogging. Liquefier block mount’s transverse vibration amplitudes increase non-linearly when nozzle starts to block. Practical implications The proposed model can be effectively used for monitoring nozzle clogging in FDM machines, as it is based on the physics relating the FDM process parameters and the nozzle blockage. Originality/value The novelty of this paper is the unique method of modelling the FDM process dynamics that can be used for monitoring nozzle clogging. |
| Databáze: | OpenAIRE |
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