Anomaly Detection of Laser-Based Metal Additive Manufacturing Using Neural-Variational Auto-Encoder

von Rescsanski, Sean
Veröffentlicht in ASME International Manufacturing Science and Engineering Conference (18. : 2023 : New Brunswick, NJ) Proceedings of the ASME 2023 18th International Manufacturing Science and Engineering Conference (MSEC2023) ; Volume 1: Additive manufacturing - advanced materials manufacturing - biomanufacturing - life cycle engineering (2023)

IMECE2019-10323 In-Situ Fatigue Prediction of Direct Laser Deposition Parts Based on Thermal Profile

von Seifi, Seyyed Hadi
Veröffentlicht in ASME International Mechanical Engineering Congress and Exposition (2019 : Salt Lake City, Utah) Proceedings of the ASME International Mechanical Engineering Congress and Exposition - 2019 ; Volume 2, B (2020)

Influence of Recycling and Process Parameters on Powder Characteristics of Direct Energy Deposition Ti-6Al-4V

von Morgan, Courtney
Veröffentlicht in AMPM (2019 : Phoenix, Ariz.) Advances in additive manufacturing with powder metallurgy (2020)