Discrete-Event Simulation Thermal Model for Extrusion-Based Additive Manufacturing of PLA and ABS.

Autor: Bhandari S; Advanced Structures and Composites Center, University of Maine, Orono, ME 04469, USA.; Department of Civil and Environmental Engineering, University of Maine, Orono, ME 04469, USA., Lopez-Anido RA; Advanced Structures and Composites Center, University of Maine, Orono, ME 04469, USA.; Department of Civil and Environmental Engineering, University of Maine, Orono, ME 04469, USA.
Jazyk: angličtina
Zdroj: Materials (Basel, Switzerland) [Materials (Basel)] 2020 Nov 05; Vol. 13 (21). Date of Electronic Publication: 2020 Nov 05.
DOI: 10.3390/ma13214985
Abstrakt: The material properties of thermoplastic polymer parts manufactured by the extrusion-based additive manufacturing process are highly dependent on the thermal history. Different numerical models have been proposed to simulate the thermal history of a 3D-printed part. However, they are limited due to limited geometric applicability; low accuracy; or high computational demand. Can the time-temperature history of a 3D-printed part be simulated by a computationally less demanding, fast numerical model without losing accuracy? This paper describes the numerical implementation of a simplified discrete-event simulation model that offers accuracy comparable to a finite element model but is faster by two orders of magnitude. Two polymer systems with distinct thermal properties were selected to highlight differences in the simulation of the orthotropic response and the temperature-dependent material properties. The time-temperature histories from the numerical model were compared to the time-temperature histories from a conventional finite element model and were found to match closely. The proposed highly parallel numerical model was approximately 300-500 times faster in simulating thermal history compared to the conventional finite element model. The model would enable designers to compare the effects of several printing parameters for specific 3D-printed parts and select the most suitable parameters for the part.
Databáze: MEDLINE
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