Abstract
Original language | English |
---|---|
Journal | Additive Manufacturing |
DOIs | |
Publication status | Published - 2015 |
Fingerprint
Cite this
}
Multiphysical Modeling of the Heating Phase in the Polymer Powder Bed Fusion Process. / Liu, Xin; Boutaous, M’hamed; Xin, Shihe; Dennis, Siginer.
In: Additive Manufacturing, 2015.Research output: Contribution to journal › Article
TY - JOUR
T1 - Multiphysical Modeling of the Heating Phase in the Polymer Powder Bed Fusion Process
AU - Liu, Xin
AU - Boutaous, M’hamed
AU - Xin, Shihe
AU - Dennis, Siginer
PY - 2015
Y1 - 2015
N2 - A numerical framework based on a modified Monte Carlo ray-tracing method and the Discrete Element Method (DEM) is developed to predict the physical behavior of discrete particles during the Powder Bed Fusion (SLS) process. A comprehensive model coupling all major aspects of the underlying physics and the corresponding numerical framework, accounting for radiative heat transfer, heat conduction, sintering and granular dynamics among others, is developed. In particular, the effect of scattering on the laser-particle interaction is investigated and accounted for in the numerical framework. The spatially and temporally varying distribution of heat and displacement within the additively manufactured object are captured in detail. The model is validated through the comparison of simulated results with existing experimental results in the literature.
AB - A numerical framework based on a modified Monte Carlo ray-tracing method and the Discrete Element Method (DEM) is developed to predict the physical behavior of discrete particles during the Powder Bed Fusion (SLS) process. A comprehensive model coupling all major aspects of the underlying physics and the corresponding numerical framework, accounting for radiative heat transfer, heat conduction, sintering and granular dynamics among others, is developed. In particular, the effect of scattering on the laser-particle interaction is investigated and accounted for in the numerical framework. The spatially and temporally varying distribution of heat and displacement within the additively manufactured object are captured in detail. The model is validated through the comparison of simulated results with existing experimental results in the literature.
U2 - 10.1016/j.addma.2017.10.006
DO - 10.1016/j.addma.2017.10.006
M3 - Article
JO - Additive Manufacturing
JF - Additive Manufacturing
SN - 2214-8604
ER -