A review on the enhancement of failure mechanisms modeling in additively manufactured structures by machine learning
This review discusses the feasibility of using microstructure-and defect-sensitive models to
predict the fatigue behavior of additively generated materials through a non-exclusive …
predict the fatigue behavior of additively generated materials through a non-exclusive …
A comprehensive review of recent advances in laser powder bed fusion characteristics modeling: metallurgical and defects
SF Nabavi, H Dalir, A Farshidianfar - The International Journal of …, 2024 - Springer
This comprehensive review explores recent advancements in laser powder bed fusion
(LPBF) modeling, with a particular focus on metallurgical, temperature, and defect aspects …
(LPBF) modeling, with a particular focus on metallurgical, temperature, and defect aspects …
[HTML][HTML] Inference of highly time-resolved melt pool visual characteristics and spatially-dependent lack-of-fusion defects in laser powder bed fusion using acoustic and …
With a growing demand for high-quality fabrication, the interest in real-time process and
defect monitoring of laser powder bed fusion (LPBF) has increased, leading manufacturers …
defect monitoring of laser powder bed fusion (LPBF) has increased, leading manufacturers …
[HTML][HTML] Anomaly detection by X-ray tomography and probabilistic fatigue assessment of aluminum brackets manufactured by PBF-LB
The assessment of safety-critical components for fatigue applications is a key requirement
for metal additive manufacturing (AM) applications. Material anomalies play a relevant role …
for metal additive manufacturing (AM) applications. Material anomalies play a relevant role …
[HTML][HTML] Fatigue-based process window for laser beam powder bed fusion additive manufacturing
Processing defects remain the primary cause for fatigue failure of laser beam powder bed
fusion (PBF-LB) produced components. Accordingly, process mapping methodologies have …
fusion (PBF-LB) produced components. Accordingly, process mapping methodologies have …
Inference of Highly Time-resolved Melt Pool Visual Characteristics in Laser Powder Bed Fusion from Acoustic and Thermal Emission Data
With a growing demand for high-quality fabrication, the interest in real-time monitoring of
laser powder bed fusion (LPBF) processes has increased, leading manufacturers to …
laser powder bed fusion (LPBF) processes has increased, leading manufacturers to …
Effect of support structures and surface angles on near-surface porosity in laser powder bed fusion
Additive manufacturing (AM) provides tremendous design freedom, but also introduces
many sources of defects. Use of AM in safety-critical parts requires an excellent …
many sources of defects. Use of AM in safety-critical parts requires an excellent …
Expediting structure–property analyses using variational autoencoders with regression
WF Templeton, JP Miner, A Ngo, L Fitzwater… - Computational Materials …, 2024 - Elsevier
We present a machine learning approach that expedites structure–property analysis in
materials, bypassing traditional feature extraction and exploratory data analysis techniques …
materials, bypassing traditional feature extraction and exploratory data analysis techniques …
Statistical analysis to assess porosity equivalence with uncertainty across additively manufactured parts for fatigue applications
Previous work on fatigue prediction in Powder Bed Fusion-Laser Beam has shown that the
estimate of the largest pore size within the stressed volume is correlated with the resulting …
estimate of the largest pore size within the stressed volume is correlated with the resulting …