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Search Publications by: Shaw C Feng (Fed)

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Displaying 1 - 25 of 181

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

DATA REQUIREMENTS FOR DIGITAL TWINS IN ADDITIVE MANUFACTURING

June 15, 2023
Author(s)
Shaw C. Feng, Albert T. Jones, Guodong Shao
The number and types of sensors used to monitor additive manufacturing (AM) processes and parts in real time are growing. The emerging digital twins (DTs) associated with the data collected by those sensors and the functions that use that data as inputs

Data organization in laser-based powder bed fusion for metals

September 16, 2022
Author(s)
Shaw C. Feng, Albert T. Jones, Shengyen Li, Mostafa Yakout
Data analytics (DA) and artificial intelligence (AI) have been chosen as the technologies for extracting new knowledge and making better decisions in additive manufacturing (AM) processes. They have been chosen because accurate and complete physics-based

CAPABILITIES IN SOFTWARE SYSTEMS for METAL ADDITIVE MANUFACTURING - A REVIEW

August 8, 2022
Author(s)
Shaw C. Feng, Paul Witherell, Albert T. Jones, Tesfaye Moges, Hyunseop Park, Mostafa Yakout, Hyunwoong Ko
Additive manufacturing (AM) is rapidly transitioning to an accepted production technology. This transition has led to increasing demands on data analysis and software tools. Advances in data acquisition and analysis are being propelled by an increase in

Visualization Ecology Applications for Measurement Science: A Visualization Gap Approach

June 13, 2022
Author(s)
Simon Su, William Sherman, Steven G. Satterfield, Terence J. Griffin, William L. George, Sandy Ressler, Shaw C. Feng, Judith E. Terrill
Advanced visualization research have remained insufficiently included in science and engineering workflows due to the highly specialized task-specific requirements and lack of suitable applications. Although the field of visualization is maturing and

RULE MODEL FOR SELECTING DIMENSIONAL MEASUREMENT EQUIPMENT IN INSPECTION PLANNING

November 27, 2020
Author(s)
Shaw C. Feng, John A. Horst, Allison Barnard Feeney, Albert T. Jones
Process uncertainty can have negative impact on the part quality and is critical to safety and performance of products. Those impacts are manifested in the dimensional measurement uncertainty associated with those parts and products. To minimize the