Powder bed monitoring via digital image analysis in additive manufacturing

A Boschetto, L Bottini, S Vatanparast - Journal of Intelligent Manufacturing, 2024 - Springer
Due to the nature of Selective Laser Melting process, the built parts suffer from high chances
of defects formation. Powders quality have a significant impact on the final attributes of SLM …

A deep learning-based approach for segmentation and identification of δ phase for Inconel 718 alloy with different compression deformation

N Wang, H Guan, J Wang, J Zhou, W Gao… - Materials Today …, 2022 - Elsevier
Accurate control of δ phase content, distribution, and morphology is crucial for guiding the
processing schemes to form an alloy with desirable properties. Traditional methods for …

A novel approach for defect detection of wind turbine blade using virtual reality and deep learning

MF Rabbi - 2023 - search.proquest.com
Wind turbines are subjected to continuous rotational stresses and unusual external forces
such as storms, lightning, strikes by flying objects, etc., which may cause defects in turbine …