[HTML][HTML] Big data, machine learning, and digital twin assisted additive manufacturing: A review
Additive manufacturing (AM) has undergone significant development over the past decades,
resulting in vast amounts of data that carry valuable information. Numerous research studies …
resulting in vast amounts of data that carry valuable information. Numerous research studies …
In-situ process monitoring and adaptive quality enhancement in laser additive manufacturing: a critical review
Abstract Laser Additive Manufacturing (LAM) presents unparalleled opportunities for
fabricating complex, high-performance structures and components with unique material …
fabricating complex, high-performance structures and components with unique material …
Sheet resistance prediction of laser induced graphitic carbon with transformer encoder-enabled contrastive learning
Accurately predicting the sheet resistance of laser-induced graphitic carbon (LIGC) is crucial
for optimizing process conditions and designing high-performance LIGC-based devices …
for optimizing process conditions and designing high-performance LIGC-based devices …
[HTML][HTML] A novel feature engineering approach for predicting melt pool depth during LPBF by machine learning models
MH Mosallanejad, H Gashmard, M Javanbakht… - Additive Manufacturing …, 2024 - Elsevier
Melt pool geometry is a deterministic factor affecting the characteristics of metal Additive
Manufacturing (AM) components. The wide array of physical and thermal phenomena …
Manufacturing (AM) components. The wide array of physical and thermal phenomena …