A systematic review on data of additive manufacturing for machine learning applications: the data quality, type, preprocessing, and management

Y Zhang, M Safdar, J **ement behavior in plasma–MIG process for metal droplet-on-demand applications
A Kapil, N Kayarthaya, V Sharma, A Sharma - Journal of Materials …, 2023 - Elsevier
On-demand metal droplet deposition has garnered increased interest in recent years owing
to its potential applications in additive manufacturing. Plasma metal inert gas droplet …

Liquid metal droplet dynamics

X Zhao, M Qiao, Y Zhou, J Liu - Droplet, 2024 - Wiley Online Library
The unique properties to combine the dual merits of both liquids and metals together make
the gallium‐based liquid metal (LM) droplets a class of unconventional substitute which …

Mobile robotics and 3D printing: addressing challenges in path planning and scalability

M Rastegarpanah, ME Asif, J Butt, H Voos… - Virtual and Physical …, 2024 - Taylor & Francis
ABSTRACT Mobile Additive Manufacturing (MAM) systems are transforming large-scale
fabrication across various industries, particularly in building and construction. This review …

Data-Driven autonomous printing process optimization and real-time abnormality identification in aerosol jet-deposited droplet morphology

H Zhang, L Cui, PH Lee, Y Kim, SK Moon… - Virtual and Physical …, 2024 - Taylor & Francis
ABSTRACT Aerosol Jet Printing (AJP) is a digital direct ink writing technology, which excels
in maskless patterning and fine conductive line deposition. However, its potential in droplet …

Traditional machine learning and deep learning for predicting melt-pool cross-sectional morphology of laser powder bed fusion additive manufacturing with …

H Wang, B Li, S Zhang, F Xuan - Journal of Intelligent Manufacturing, 2024 - Springer
The intricate non-equilibrium and rapid solidification behavior inherent in laser powder bed
fusion (LPBF) additive manufacturing affects the quality and performance of as-built parts. To …

Monitoring of robot trajectory deviation based on multimodal fusion perception in WAAM process

R Yu, X Tan, S He, Y Huang, L Wang, Y Peng, K Wang - Measurement, 2024 - Elsevier
During wire arc additive manufacturing (WAAM) process, the movement trajectory of robot
directly determines cladding layer position, therefore, monitoring of robot trajectory is …