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Manufacturing

Additive manufacturing

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Displaying 26 - 50 of 388

Towards Reproducible Machine Learning-Based Process Monitoring and Quality Prediction Research for Additive Manufacturing

November 13, 2024
Author(s)
Yan Lu, Zhuo Yang, Jiarui Xie, Mutahar Safdar, Andrei Mircea Romascanu, Hyunwoong Ko, Yaoyao Fiona Zhao
Machine learning (ML)-based monitoring systems have been extensively developed to enhance the print quality of additive manufacturing (AM). In-situ and in-process data acquired using sensors can be used to train ML models that detect process anomalies

In-process monitoring and non-destructive evaluation for metal additive manufacturing processes

September 17, 2024
Author(s)
Alkan Donmez, Jason Fox, Felix Kim, Brandon Lane, Maxwell Praniewicz, Vipin Tondare, Jordan Weaver, Paul Witherell
The rapid pace of maturation of metal additive manufacturing (AM) technologies, makes them an excellent candidate for the fabrication of nuclear power plant (NPP) components. However, the current levels of process variations create numerous challenges yet

Model-Based Production Operational Control for Metal Additive Manufacturing

September 15, 2024
Author(s)
Duncan Gibbons, Paul Witherell
Metal additive manufacturing processes are influenced by many variables that affect the produced material to varying degrees. This wide range of variables and the complex fusion mechanisms inherent to these processes often result in a manufacturing process

In-situ, Parallel Monitoring of Relative Temperature, Material Emission, and Laser Reflection in Powder-blown Directed Energy Deposition

September 10, 2024
Author(s)
Samantha Webster, Jihoon Jeong, Rujing Zha, Shuheng Liao, Alberto Castro, Lars Jacquemetton, Darren Beckett, Kornel Ehmann, Jian Cao
In-situ monitoring is critical for developing new control methods, advanced materials, and toolpath planning strategies in laser beam Directed Energy Deposition (DED-LB). Coaxial melt pool monitoring has typically been performed with cameras (e.g

An Overarching Quality Evaluation Framework for Additive Manufacturing Digital Twin

September 2, 2024
Author(s)
Yan Lu, Zhuo Yang, Shengyen Li, Yaoyao Fiona Zhao, Jiarui Xie, Mutahar Safdar, Hyunwoong Ko
The key differentiation of digital twins from existing models-based engineering approaches lies in the continuous synchronization between physical and virtual twins through data exchange. The success of digital twins, whether operated automatically or with

Additive Manufacturing of Highly Entangled Polymer Networks

August 1, 2024
Author(s)
Abhishek Dhand, Matthew Davidson, Hannah Zlotnick, Thomas Kolibaba, Jason Killgore, Jason Burdick
Incorporation of polymer chain entanglements within a single network can synergistically improve stiffness and toughness, yet attaining such dense entanglements through vat photopolymerization additive manufacturing (e.g., digital light processing, DLP)
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