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Search Publications by: Paul Witherell (Fed)

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Displaying 26 - 50 of 98

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

Six-sigma Quality Management of Additive Manufacturing

November 26, 2020
Author(s)
Yan Lu, Hui Yang, Paul Witherell
Quality is a key determinant in deploying new processes, products or services, and influences the adoption of emerging manufacturing technologies. The advent of additive manufacturing (AM) as a manufacturing process has the potential to revolutionize a

SCALABLE THERMAL SIMULATION OF POWDER BED FUSION

October 1, 2020
Author(s)
Paul Witherell, Vadim Shapiro, Yaqi Zhang
Powder bed fusion (PBF) has become a widely used additive manufacturing (AM) technology to produce metallic parts. As the PBF process is driven by a moving heat source, consistency in part production, particularly when varying geometries, has proven

Standard Connections for IIoT Empowered Smart Manufacturing

September 12, 2020
Author(s)
Yan Lu, Paul W. Witherell, Albert W. Jones
The use of Industrial Internet-of-Things (IIoT) and related technology promises to transform manufacturing to the fourth Industry revolution era essentialized by "ubiquitous connectivity." IIoT allows new and unprecedented interactions amongst hardware

A NEIGHBORHOOD-BASED NEURAL NETWORK FOR MELT POOL PREDICTION AND CONTROL

September 1, 2020
Author(s)
Paul Witherell, Vadim Shapiro, Yaqi Zhang
One of the most prevalent additive manufacturing processes, the powder bed fusion process, is driven by a moving heat source that melts metals to build a part. This moving heat source, and the subsequent formation and moving of a melt pool, plays an

Nesting and Scheduling Problems for Additive Manufacturing: A Taxonomy and Review

August 21, 2020
Author(s)
Yosep Oh, Paul Witherell, Yan Lu, Timothy A. Sprock
With the trends of Industry 4.0 spanning physical and virtual worlds, Additive Manufacturing (AM) has been the mainstream for realizing complex geometries designed in computers. Meanwhile, a considerable number of AM studies have focused on effectively

Data-driven characterization of computational models for powder-bed-fusion additive manufacturing

July 31, 2020
Author(s)
Yan Lu, Zhuo Yang, Paul W. Witherell, Wentao Yan, Kevontrez Jones, Gregory Wagner, Wing-Kam Liu, Jason C. Fox
Computational modeling for additive manufacturing has proven to be a powerful tool to understand the physical mechanisms, predict fabrication quality, and guide design and optimization. Varieties of models have been developed with different assumptions and

A Decision Support Methodology for Integrated Machining Process and Operation Plans for Sustainability and Productivity Assessment

April 12, 2020
Author(s)
Qais Hatim, Christopher Saldana, Guodong Shao, Duckbong Kim, KC Morris, Paul Witherell, Sudarsan Rachuri, Soundar Kumara
In this paper, a systematic methodology is presented to enable environmental sustainability and productivity performance assessment for integrated process and operation plans at the machine cell level of a manufacturing system. This approach determines

Automatic Volumetric Segmentation of Additive Manufacturing Defects with 3D U-Net

March 23, 2020
Author(s)
Vivian W. Wong, Max Ferguson, Kincho Law, Yung-Tsun Lee, Paul Witherell
Segmentation of defects in additive manufacturing is challenging, due to the poor contrast, small sizes and variation in appearance of defects. Automatic segmentation can however provide quality control for additive manufacturing. Over recent years, 3D
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