Numerical Simulation of Flow Behaviour of PLA and PLA-Copper during Fused Deposition Modeling Process

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Abstract:

Fused deposition modeling (FDM) has been developed to adapt more application with a wide variety of material used, especially metal filled PLA filament. However, choosing wrong PLA-based filaments’ process parameters is a popular situation that causes great product’s dimensional error. This research is focused on studying the difference in the input velocity parameters between PLA and PLA-copper filament. This paper presents a numerical nozzle model and use finite element analysis method to investigate the melted filament fluid behavior. Flow parameters such as pressure, melting temperature range and velocity were discussed in detail. Experiments were then carried to determine optimal printing velocity range of the two filaments. Results show that the filament input velocity has great influence on flow parameters as this velocity changes, the flow parameters change as well. Finally, based on the evaluation of dimensional accuracy of printed samples, the optimal input velocity for each type of filament has been found, which are 2 – 3.5 mm/s for PLA and under 5 mm/s for PLA-copper.

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Materials Science Forum (Volume 1064)

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53-63

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June 2022

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© 2022 Trans Tech Publications Ltd. All Rights Reserved

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[1] Sukindar N. A., Ariffin M. K. A. and Baharudin B. T. H. T., Analyzing the effect of nozzle diameter in fused deposition modeling for extruding polylactic acid using open source 3D printing, Jurnal Teknologi, 78(10), (2016).

DOI: 10.11113/jt.v78.6265

Google Scholar

[2] Mostafa N., Syed H. M., Igor S., and Andrew G., A study of melt flow analysis of an ABS-Iron composite in fused deposition modelling process, Tsinghua Science and Technology, 14(S1), p.29–37, (2009).

DOI: 10.1016/s1007-0214(09)70063-x

Google Scholar

[3] Ramanath H. S., Chua C. K. and Leong K. F., Melt flow behaviour of poly-e-caprolactone in fused deposition modelling, Journal of Material Science, 19(7), 25410-50, (2008).

DOI: 10.1007/s10856-007-3203-6

Google Scholar

[4] Papon E. A., Haque A and Sharif, Effect of nozzle geometry on melt flow simulation and structural property of thermoplastic nanocomposites in fused deposition modeling, American Society of Composites, Purdue University, October 23─25, 32nd Technical Conference, 15339, (2017).

DOI: 10.12783/asc2017/15339

Google Scholar

[5] Han S., Xiao Y., Qi T., Li Z. and Zeng Q., Design and Analysis of Fused Deposition Modeling 3D Printer Nozzle for Color Mixing, Advances in Materials Science and Engineering, 2017(2), pp.1-12, (2017).

DOI: 10.1155/2017/2095137

Google Scholar

[6] Stewart S. R., Wentz J. E. and Allison J. T., Experimental and computational fluid dynamic analysis of melt flow behavior in fused deposition modelling of poly(lactic) acid, ASME 2015 International Mechanical Engineering Congress and Exposition, 2A(10), 52261 – 52269, (2016).

DOI: 10.1115/imece2015-52261

Google Scholar

[7] Shadvar, N., Foroozmehr, E., Badrossamay, M., Amouhadi, I., & Dindarloo, A. S., Computational analysis of the extrusion process of fused deposition modeling of acrylonitrile-butadiene-styrene. International Journal of Material Forming, (2019).

DOI: 10.1007/s12289-019-01523-1

Google Scholar

[8] Djellali S., Sadoun T., Haddaoui N. and Bergeret A., Viscosity and viscoelasticity measurements of low density polyethylene/poly (lactic acid) blends, Polymer Bulletin, 72(5), p.1177–1195, (2015).

DOI: 10.1007/s00289-015-1331-6

Google Scholar

[9] Makerbot, PLA and ABS strength data. [online] Available at: http://download.makerbot.com/legal/MakerBot_R__PLA_and_ABS_Strength_Data.pdf [Accessed 29 August 2020].

Google Scholar

[10] James M. G., and Barry J. G., Mechanics of Materials, 7th Edition, Quebecor World, pp.837-838, (2009).

Google Scholar

[11] Walter A. R., Sampling Distribution Theory, in USA: CRC Press, Probability and Statistics for Science, Engineering and Finance, pp.277-290, (2009).

Google Scholar