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Discrete-Event Simulation Thermal Model for Extrusion-Based Additive Manufacturing of PLA and ABS
Sunil Bhandari1,2, Roberto A Lopez-Anido1,2
1Advanced Structures and Composites Center, University of Maine, Orono, ME 04469, USA.
Materials (Basel, Switzerland)
|November 10, 2020
Summary
A new discrete-event simulation model accurately predicts the thermal history of 3D-printed parts. This fast, computationally efficient method is 300-500 times quicker than traditional finite element models.
Area of Science:
- Materials Science
- Computational Modeling
- Additive Manufacturing
Background:
- Thermoplastic polymer part properties in extrusion-based additive manufacturing are sensitive to thermal history.
- Existing numerical models for simulating thermal history face limitations in geometric applicability, accuracy, or computational demand.
Purpose of the Study:
- To develop and implement a computationally efficient numerical model for simulating the time-temperature history of 3D-printed parts.
- To achieve accuracy comparable to finite element models while significantly reducing computational cost.
Main Methods:
- Numerical implementation of a simplified discrete-event simulation model.
- Validation using two polymer systems with distinct thermal properties.
- Comparison of simulation results with a conventional finite element model.
Main Results:
- The discrete-event simulation model demonstrated accuracy comparable to finite element models.
- The proposed model achieved simulation speeds 300-500 times faster than conventional finite element models.
- Close matching of time-temperature histories between the proposed model and finite element analysis.
Conclusions:
- A fast and accurate numerical model for simulating the thermal history of 3D-printed parts has been developed.
- This model significantly reduces computational demand, enabling efficient design parameter exploration.
- The model facilitates the selection of optimal printing parameters for enhanced part performance.

