In recent years, machine learning (ML) techniques have been extensively investigated to
strengthen the understanding of the complex process dynamics underlying metal additive …

The purpose of this research is to develop a hybrid experimental and computational model
to estimate the absorption of the laser for Laser-Based Powder Bed Fusion (LB-PBF) of …

This comprehensive review explores recent advancements in laser powder bed fusion
(LPBF) modeling, with a particular focus on metallurgical, temperature, and defect aspects …

Understanding and controlling the thermal behavior during laser powder bed fusion (LPBF)
additive manufacturing (AM) is crucial to improve the quality of the printed layer and the …

Purpose This paper aims to study multiobjective genetic algorithm ability in determining the
process parameter and postprocess condition that leads to maximum relative density (RD) …

The computational models used to study the laser powder bed fusion (LPBF) process
incorporate numerous physics that make the model heavy and time consuming, rendering …

One problematic task in the laser-based powder bed fusion (LB-PBF) process is the
estimation of meltpool depth, which is a function of the process parameters and …

The forming quality of selective laser melting (SLM) components largely depends on defects
such as pore, which seriously deteriorates the mechanical properties. In this study, a meso …

Understanding the essential role of initial powder bed states (eg, structure and temperature)
in the printing process is crucial to obtain high-quality components in powder-bed-based …

Efficient packing of the powder bed plays a key role in ensuring high quality of parts printed
with Powder Bed Fusion (PBF) based additive manufacturing technologies. This paper …