Predictive modeling of fracture behavior in Ti6Al4V alloys manufactured by SLM process

M Sarparast, M Shafaie, M Davoodi… - Frattura Ed Integrità …, 2024 - fracturae.com
This study focuses on ductile fracture behavior prediction for Ti6Al4V alloys fabricated via
Selective Laser Melting (SLM). A modified Gurson-Tvergaard-Needleman (GTN) model …

[HTML][HTML] Influence of raster orientation on fracture behavior of Ti6Al4V alloy manufactured by Laser powder bed fusion

M Sarparast, M Shafaie, H Zhang - Engineering Failure Analysis, 2024 - Elsevier
This study analyzes the fracture characteristics of Ti6Al4V alloy manufactured by the Laser
Powder Bed Fusion (LPBF) technique, specifically investigating the effect of raster …

Integrating data-driven system to predict temperature and distortion in multi-layer direct metal deposition processes

M Shafaie, M Sarparast, H Zhang - The International Journal of Advanced …, 2024 - Springer
This study proposed a framework to train an artificial neural network (ANN) by a data-driven
system to predict the temperature and distortion in multi-layer direct metal deposition (DMD) …

Predicting the fatigue life of additively manufactured AlSi10Mg alloy using a physics-informed neural network incorporating continuous damage mechanics

Q Wu, H Wang, B Li - Proceedings of the Institution of …, 2024 - journals.sagepub.com
The material characteristics of additively manufactured AlSi10Mg alloy, including the
random distribution of process-induced micro defects, microstructual anisotropy, and grain …

Application of Experimental Design-Based Predictive Models and Optimization in Additive Manufacturing–a Review

Á Drégelyi-Kiss - Hungarian Journal of Industry and …, 2024 - hjic.mk.uni-pannon.hu
Experiments play a crucial role in additive manufacturing to help researchers develop new
materials with enhanced properties or in several types of process optimization tasks. Design …