Mechanistic artificial intelligence (mechanistic-AI) for modeling, design, and control of advanced manufacturing processes: Current state and perspectives
Today's manufacturing processes are pushed to their limits to generate products with ever-
increasing quality at low costs. A prominent hurdle on this path arises from the multiscale …
increasing quality at low costs. A prominent hurdle on this path arises from the multiscale …
Recent progress in high-entropy alloys for laser powder bed fusion: Design, processing, microstructure, and performance
Laser powder bed fusion (LPBF), as the most commercialized metal additive manufacturing
technique, is tantalizing the metallurgical community owing to its capabilities of directly …
technique, is tantalizing the metallurgical community owing to its capabilities of directly …
Monitoring and prediction of porosity in laser powder bed fusion using physics-informed meltpool signatures and machine learning
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 …
fusion (LPBF) additive manufacturing process. This objective was realized by extracting …
Predictive process mapping for laser powder bed fusion: A review of existing analytical solutions
One of the main challenges in the laser powder bed fusion (LPBF) process is making dense
and defect-free components. These porosity defects are dependent upon the melt pool …
and defect-free components. These porosity defects are dependent upon the melt pool …
Quantification and prediction of lack-of-fusion porosity in the high porosity regime during laser powder bed fusion of Ti-6Al-4V
P Promoppatum, R Srinivasan, SS Quek… - Journal of Materials …, 2022 - Elsevier
Although lack-of-fusion porosity due to incomplete melting of powder can limit the
mechanical properties of additively manufactured metals, quantification and prediction of …
mechanical properties of additively manufactured metals, quantification and prediction of …
Robust additive manufacturing performance through a control oriented digital twin
The additive manufacturing process control utilizing digital twins is an emerging issue.
However, robustness in process performance is still an open aspect, due to uncertainties …
However, robustness in process performance is still an open aspect, due to uncertainties …
[HTML][HTML] In situ X-ray imaging of hot cracking and porosity during LPBF of Al-2139 with TiB2 additions and varied process parameters
Laser powder bed fusion (LPBF) additive manufacturing of 2XXX series Al alloys could be
used for low volume specialist aerospace components, however, such alloys exhibit hot …
used for low volume specialist aerospace components, however, such alloys exhibit hot …
Hydrogen embrittlement of additively manufactured austenitic stainless steel 316 L
Additive manufacturing (AM) is a promising means of production of austenitic stainless steel
(SS) parts for hydrogen service. The hydrogen embrittlement resistance of SS 316 L parts …
(SS) parts for hydrogen service. The hydrogen embrittlement resistance of SS 316 L parts …
Density prediction in powder bed fusion additive manufacturing: machine learning-based techniques
Machine learning (ML) is one of the artificial intelligence tools which uses past data to learn
the relationship between input and output and helps to predict future trends. Powder bed …
the relationship between input and output and helps to predict future trends. Powder bed …
Towards the optimal design of support structures for laser powder bed fusion-based metal additive manufacturing via thermal equivalent static loads
In laser powder bed fusion (LPBF)-based metal additive manufacturing, support structures
play a crucial role in ensuring part-printability. However, support structures often consume …
play a crucial role in ensuring part-printability. However, support structures often consume …