Gaussian process-based surrogate modeling framework for process planning in laser powder-bed fusion additive manufacturing of 316L stainless steel

G Tapia, S Khairallah, M Matthews, WE King… - … International Journal of …, 2018 - Springer
Abstract Laser Powder-Bed Fusion (L-PBF) metal-based additive manufacturing (AM) is
complex and not fully understood. Successful processing for one material, might not …

Hybrid modeling approach for melt-pool prediction in laser powder bed fusion additive manufacturing

T Moges, Z Yang, K Jones… - Journal of …, 2021 - asmedigitalcollection.asme.org
Abstract Multi-scale, multi-physics, computational models are a promising tool to provide
detailed insights to understand the process–structure–property–performance relationships …

Overview of modelling and simulation of metal powder bed fusion process at Lawrence Livermore National Laboratory

W King, AT Anderson, RM Ferencz… - Materials Science …, 2015 - journals.sagepub.com
The metal laser powder bed fusion additive manufacturing process uses high power lasers
to build parts layer upon layer by melting fine metal powders. Qualification of parts produced …

Thermal modeling of laser based additive manufacturing processes within common materials

J Romano, L Ladani, M Sadowski - Procedia Manufacturing, 2015 - Elsevier
Process optimization is an important area requiring further research in the field of rapid
prototyping and manufacturing. Current research efforts are focused on enhancing metallic …

Identifying uncertainty in laser powder bed fusion additive manufacturing models

F Lopez, P Witherell, B Lane - Journal of …, 2016 - asmedigitalcollection.asme.org
As additive manufacturing (AM) matures, models are beginning to take a more prominent
stage in design and process planning. A limitation frequently encountered in AM models is a …

Monitoring and prediction of porosity in laser powder bed fusion using physics-informed meltpool signatures and machine learning

Z Smoqi, A Gaikwad, B Bevans, MH Kobir… - Journal of Materials …, 2022 - Elsevier
In this work we accomplished the monitoring and prediction of porosity in laser powder bed
fusion (LPBF) additive manufacturing process. This objective was realized by extracting …

Predicting defects in laser powder bed fusion using in-situ thermal imaging data and machine learning

SM Estalaki, CS Lough, RG Landers, EC Kinzel… - Additive …, 2022 - Elsevier
Variation in the local thermal history during the Laser Powder Bed Fusion (LPBF) process in
Additive Manufacturing (AM) can cause micropore defects, which add to the uncertainty of …

Perspectives of using machine learning in laser powder bed fusion for metal additive manufacturing

SL Sing, CN Kuo, CT Shih, CC Ho… - Virtual and Physical …, 2021 - Taylor & Francis
The adoption of laser powder bed fusion (L-PBF) for metals by the industry has been limited
despite the significant progress made in the development of the process chain. One of the …

Measurements of melt pool geometry and cooling rates of individual laser traces on IN625 bare plates

B Lane, J Heigel, R Ricker, I Zhirnov… - Integrating materials and …, 2020 - Springer
The complex physical nature of the laser powder bed fusion (LPBF) process warrants use of
multiphysics computational simulations to predict or design optimal operating parameters or …

Heat source model calibration for thermal analysis of laser powder-bed fusion

SI Shahabad, Z Zhang, A Keshavarzkermani… - … International Journal of …, 2020 - Springer
Laser powder-bed fusion (LPBF) is one of the mainstream additive manufacturing (AM)
processes, which has dominated the metal AM manufacturing market. LPBF has the …