Fatigue performance in both traditional and additively manufactured materials is severely
affected by the presence of defects, which deserve special attention to ensure the in-service …

Abstract Machine learning (ML) is unlocking patterns and insight into data to provide
financial value and knowledge for organizations. Use of machine learning in manufacturing …

Gas porosity is one of the most detrimental defects that can considerably deteriorate
mechanical properties of casting parts. Simulating the interaction between gas porosity and …

A coupled lattice Boltzmann-cellular automaton-finite difference (LB-CA-FD) model is
proposed for the simulations of hydrogen porosity formation during dendritic solidification of …

This research paper evaluated three pathways for qualification of 316 L stainless steel
components made by laser powder bed fusion additive manufacturing (AM). Comprehensive …

This paper presents a method based on Darcy's law to determine the pressure drop
between the dendrite tip and root during the formation of porosity. After verification by the …

Elimination mechanism of shrinkage porosity during pressurized solidification process of
19Cr14Mn4Mo1N high-nitrogen steel ingot was systematically investigated by experimental …

Simulation of the solid–liquid–gas interaction during solidification is challenging due to the
presence of complex phase interfaces, bubble deformation, and high liquid/gas density ratio …

Age-hardenable aluminum alloys are of interest for powder bed fusion (PBF) additive
manufacturing to produce lightweight, high-performance custom components. The …

A two-dimensional multi-phase cellular automaton-finite difference method (CA-FDM) model
is proposed for the simulation of hydrogen porosity formation during solidification of …