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Search Publications by: Sheng Li (Fed)

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Displaying 1 - 4 of 4

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

A Common Data Dictionary and Common Data Model for Additive Manufacturing

February 16, 2024
Author(s)
Alexander Kuan, Kareem Aggour, Shengyen Li, Yan Lu, Luke Mohr, Alex Kitt, Hunter Macdonald
Additive manufacturing (AM) leverages emerging technologies and well-adopted processes to produce near-net-shape products. The advancement of AM technology requires data management tools to collect, store and share information through the product

Toward a Standard Data Architecture for Additive Manufacturing

January 16, 2024
Author(s)
Shengyen Li, Shaw C. Feng, Alexander Kuan, Yan Lu
To advance the additive manufacturing (AM) technologies, R&D projects may evaluate new facilities and different processes that need a scalable data architecture to accommodate the progressing knowledge. This work introduces a data pedigree to enable the

Enabling FAIR Data in Additive Manufacturing to Accelerate Industrialization

July 24, 2023
Author(s)
Shengyen Li, Yan Lu, Kareem Aggour, Peter Coutts, Brennan Harris, Alex Kitt, Afina Lupulescu, Luke Mohr, Mike Vasquez
Additive manufacturing (AM) is an important enabler of Industry 4.0 but there are several hurdles that need to be overcome to fully realize the potential of AM. These challenges include the need for a data infrastructure to enable the scaling of the