Computational modeling of temperature-dependent sintering
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Balemans, C., Hulsen, M. A., & Anderson, P. D. (2017). Computational modeling of temperature-dependent sintering.
Document status and date: Published: 01/01/2017 Document Version:
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Computational modeling of
temperature-dependent sintering
Caroline Balemans, Martien A. Hulsen, Patrick D. Anderson
/ department of mechanical engineering www.tue.nl/pt
Introduction
In Selective Laser Sintering (SLS), products are made by locally heating polymer powder in a layer-wise fashion. We connect the processing conditions with the material properties by developing a computational model of the fabrication method, to prevent defects in the final products with improved mechanical properties.
Figure 1: Schematic of the SLS process.
Method
Via direct numerical simulation, we assess the sintering of
two particles, that are initially connected[1].
a)
b)
Figure 2: a) Overview of a row of polymer particles during the sintering process; b) Initial 2D geometry for the computational model.
We solve the momentum, mass, and energy balance with the appropriate initial and boundary conditions on the moving domain using an in-house code based on the finite
element method[2]. The material is modeled by a viscous
blab
References
[1] Balemans et al., App. Sc., 2017 [2] Hulsen, TFEM: User’s Guide, 2017
[3] Verbelen et al., Euro. Pol. J., 2016 [4] Hopper, J. Fluid Mech., 1990
constitutive equation having a temperature-dependent
viscosity[3]. For the isothermal case, the model is validated
using Hopper’s analytical solution[4].
Results
Both the temperature distribution within the system, and the rate in which the particles heat up, flow, cool down, and solidify can be varied by changing the chosen set of parameters.
a)
b) c)
Figure 3: a) Dynamic evolution of the shape and the temperature distribution; b) Contact radius in time for different bll; c) Maximum
temperature in time for different .
Conclusions
We developed a numerical model to study the
temperature-dependent sintering process in SLS. With this model we can describe the complex interplay between flow, laser heating, and temperature distribution.
