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Search Publications by: Paul Witherell (Fed)

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Displaying 1 - 25 of 85

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

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)

HYBRID MODELING OF MELT POOL GEOMETRY IN ADDITIVE MANUFACTURING USING NEURAL NETWORKS

November 17, 2021
Author(s)
Kevontrez Jones, Zhuo Yang, Ho Yeung, Paul Witherell, Yan Lu
Laser powder-bed fusion is an additive manufacturing (AM) process that offers exciting advantages for the fabrication of metallic parts compared to traditional techniques, such as the ability to create complex geometries with less material waste. However

Ontology-based Process Map for Metal Additive Manufacturing

October 21, 2021
Author(s)
Paul Witherell, Byeong-Min Roh, Soundar Kumara, Timothy Simpson
Additive manufacturing (AM) is a layer-by-layer material deposition process that allows for more manufacturing flexibility and design complexity than traditional manufacturing processes. However, the print quality in metal AM is hard to be predicted and

Encryption is Futile: Reconstructing 3D-Printed Models using the Power Side-Channel

October 6, 2021
Author(s)
Jacob Gatlin, Sofia Belikovetsky, Yuval Elovici, Anthony Skjellum, Joshua Lubell, Paul Witherell, Mark Yampolskiy
Outsourced Additive Manufacturing (AM) exposes sensitive design data to external malicious actors. Even with end-to-end encryption between the design owner and 3D-printer, side-channel attacks can be used to bypass cyber-security measures and obtain the

Exploring Registration of Optical, CMM and XCT for Verification of Supplemental Surfaces to Define AM Lattices: Application to Cylindrical and Spherical Surfaces

August 25, 2021
Author(s)
Maxwell Praniewicz, Jason Fox, Gaurav Ameta, Felix Kim, Paul Witherell, Christopher Saldana
The use of lattice structures produced using additive manufacturing (AM) is of great interest to the aerospace and medical industries because of their potential for strength/weight optimization. However, their use is often limited due to challenges in

Segmentation of Addictive Manufacturing Defects Using U-Net

August 17, 2021
Author(s)
Vivian 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 deficit performance of the fabricated part. X-ray Computed Tomography (XCT) is a