TY - JOUR
T1 - Numerical modelling of heat transfer and experimental validation in powder-bed fusion with the virtual domain approximation
AU - Neiva, Eric
AU - Chiumenti, Michele
AU - Cervera, Miguel
AU - Salsi, Emilio
AU - Piscopo, Gabriele
AU - Badia, Santiago
AU - Martín, Alberto F.
AU - Chen, Zhuoer
AU - Lee, Caroline
AU - Davies, Christopher
PY - 2020/1
Y1 - 2020/1
N2 - Among metal additive manufacturing technologies, powder-bed fusion features very thin layers and rapid solidification rates, leading to long build jobs and a highly localized process. Many efforts are being devoted to accelerate simulation times for practical industrial applications. The new approach suggested here, the virtual domain approximation, is a physics-based rationale for spatial reduction of the domain in the thermal finite-element analysis at the part scale. Computational experiments address, among others, validation against a large physical experiment of 17.5 [cm3] of deposited volume in 647 layers. For fast and automatic parameter estimation at such level of complexity, a high-performance computing framework is employed. It couples FEMPAR-AM, a specialized parallel finite-element software, with Dakota, for the parametric exploration. Compared to previous state-of-the-art, this formulation provides higher accuracy at the same computational cost. This sets the path to a fully virtualized model, considering an upwards-moving domain covering the last printed layers.
AB - Among metal additive manufacturing technologies, powder-bed fusion features very thin layers and rapid solidification rates, leading to long build jobs and a highly localized process. Many efforts are being devoted to accelerate simulation times for practical industrial applications. The new approach suggested here, the virtual domain approximation, is a physics-based rationale for spatial reduction of the domain in the thermal finite-element analysis at the part scale. Computational experiments address, among others, validation against a large physical experiment of 17.5 [cm3] of deposited volume in 647 layers. For fast and automatic parameter estimation at such level of complexity, a high-performance computing framework is employed. It couples FEMPAR-AM, a specialized parallel finite-element software, with Dakota, for the parametric exploration. Compared to previous state-of-the-art, this formulation provides higher accuracy at the same computational cost. This sets the path to a fully virtualized model, considering an upwards-moving domain covering the last printed layers.
KW - Additive manufacturing (AM)
KW - Finite elements (FE)
KW - High performance computing (HPC)
KW - Powder-bed fusion (PBF)
KW - Selective laser melting (SLM)
KW - Thermal analysis
UR - http://www.scopus.com/inward/record.url?scp=85074234083&partnerID=8YFLogxK
U2 - 10.1016/j.finel.2019.103343
DO - 10.1016/j.finel.2019.103343
M3 - Article
AN - SCOPUS:85074234083
SN - 0168-874X
VL - 168
JO - Finite Elements in Analysis and Design
JF - Finite Elements in Analysis and Design
M1 - 103343
ER -