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Search Publications by: Paul Witherell (Fed)

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Displaying 1 - 25 of 98

Surrogate modeling of microstructure prediction in additive manufacturing

November 21, 2024
Author(s)
Paul Witherell, Sankaran Mahadevan, Paromita Nath, Arulmurugan Senthilnathan
Variability in the additive manufacturing process and powder material properties affect the microstructure which influences the macro-scale material properties. Systematic quantification and propagation of this uncertainty require numerous process

ONTOLOGY-BASED CONTEXT-AWARE DATA ANALYTICS IN ADDITIVE MANUFACTURING

November 13, 2024
Author(s)
Yeun Park, Paul Witherell, Hyunbo Cho
Recent advances in Additive Manufacturing (AM), particularly in production scenarios, have been largely driven by insights achieved through data analytics. AM has greatly benefited from the increasingly large amounts of data generated during the design to

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

Exploiting the Digital Economy for Product Realization in Manufacturing

April 1, 2024
Author(s)
Paul Witherell, Soundar Kumara
In this paper we briefly discuss the evolving concepts of digital economy, digital threads, and product realization (manufacturing) in the digital economy enabled futuristic world. We posit that if we need to become self-sufficient, it is imperative that

Knowledge Management for Data Analytics in Additive Manufacturing

November 21, 2023
Author(s)
Yeun Park, Paul Witherell, Albert T. Jones, Hyunbo Cho
As a multi-staged digital manufacturing process, Additive manufacturing (AM) inherently benefits from data analytics (DA) decision-making opportunities. The abundance of data associated with the various observations and measurements taken throughout the

Data Formats in Additive Manufacturing

June 1, 2023
Author(s)
Paul Witherell
Data formats play an integral role in leveraging the flexibility of additive manufacturing and achieving consistent part quality. This article compares and contrasts data formats optimized for design, materials, processes, and inspection methods. It also

STEP-NC COMPLIANT DATA REPRESENTATIONS FOR POWDER BED FUSION IN ADDITIVE MANUFACTURING

November 11, 2022
Author(s)
Fahad Milaat, Paul Witherell, Martin Hardwick, Ho Yeung, Vincenzo Ferrero, Laetitia Monnier, Matthew Brown
Powder bed fusion (PBF) is an additive manufacturing (AM) technology that uses powerful beams to fuse powder material into layers of scanned patterns, thus producing parts with great geometric complexity. For PBF, process parameters, environmental control

STEP-NC Process Planning for Powder Bed Fusion Additive Manufacturing

October 20, 2022
Author(s)
Fahad Milaat, Paul Witherell, Martin Hardwick, Ho Yeung, Vincenzo Ferrero, Laetitia Monnier, Matthew Brown
Powder bed fusion (PBF) is an additive manufacturing (AM) technology that uses high-power beams to fuse powder material into layers of scanned patterns, thus producing parts with great geometric complexity. For PBF, the selection of appropriate process

Research and Application of Machine Learning for Additive Manufacturing

October 1, 2022
Author(s)
Paul Witherell, Yan Lu, Ying Liu, David W. Rosen, Timothy Simpson, Charlie Wang
Additive manufacturing (AM) is poised to bring a revolution due to its unique production paradigm. It offers the prospect of mass customization, flexible production, on-demand and decentralized manufacturing. However, a number of challenges stem from not

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

Spatiotemporal Monitoring of Melt-Pool Variations in Metal-Based Additive Manufacturing

July 1, 2022
Author(s)
Siqing Zhang, Yan Lu, Paul Witherell, Timothy Simpson, Soundar Kumara, Hui Yang
Additive manufacturing provides a higher level of flexibility to build customized products with complex geometries. However, AM is currently limited in its ability to ensure quality assurance and process repeatability. Advanced imaging provides unique

Segmentation of Additive Manufacturing Defects Using U-Net

June 30, 2022
Author(s)
Vivian W. Wong, Max Ferguson, Kincho Law, Yung-Tsun Lee, Paul Witherell
Additive manufacturing (AM) provides design flexibility and allows rapid fabrications of parts with complex geometries. The presence of internal defects, however, can lead to the deficit performance of the fabricated part. X-ray computed tomography (XCT)
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