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Displaying 1 - 25 of 108

Employing Word-Embedding for Schema Matching in Standard Lifecycle Management

December 29, 2023
Author(s)
Hakju Oh, Boonserm Kulvatunyou, Albert T. Jones, Tim Finin
Today, businesses rely on numerous information systems to achieve their production goals and improve their global competitiveness. Semantically integrating those systems is essential for businesses to achieve both. To do so, businesses must rely on

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

Additive Manufacturing Data Integration and Recommended Practice

June 30, 2023
Author(s)
Yan Lu, Milica Perisic, Albert T. Jones
Additive manufacturing (AM) creates parts layer by layer directly from three-dimensional computer-aided design data. Building in layers allows the fabrication of complex geometric shapes as well as functionally graded materials. Despite the part-quality

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

In-Process Data Integration for Laser Powder Bed Fusion Additive Manufacturing

November 11, 2022
Author(s)
Milica Perisic, Yan Lu, Albert T. Jones
Additive manufacturing (AM) is a powerful technology that can create complex metallic parts and has the potential to improve the economic bottom line for various industries. However, due to process instabilities, and the resulting material defects that

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

A Data Integration Framework for Additive Manufacturing Big Data Management

December 7, 2021
Author(s)
Milica Perisic, Dimitrije Milenkovic, Yan Lu, Albert T. Jones, Nenad Ivezic, Boonserm Kulvatunyou
Large amounts of data are generated throughout the entire, AM, part-development lifecycle. Data are generated by various functions within process monitoring, material characterization, equipment status, and part qualification. Hence, data integration 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

Cognitive Automation and its Impact on Additive Manufacturing

October 15, 2020
Author(s)
Albert T. Jones, Zhuo Yang, Yan Lu
The English word manufacturing firstly appeared in 1683 and it was derived from Latin manu factus, meaning making by hand. For more than thousands of years now, and four Industrial Revolutions, the physical, and mostly mechanical processes, associated with

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

DATA REGISTRATION FOR IN-SITU MONITORING OF LASER POWDER BED FUSION PROCESSES

November 11, 2019
Author(s)
Shaw C. Feng, Yan Lu, Albert W. Jones
Increasingly, a wide range of in-situ sensors are being instrumented on additive manufacturing (AM) machines. Researchers and manufacturers use these sensors to collect a variety of data to monitor process performance and part quality. The amount and speed

2018 NIST/OAGi Workshop: Enabling Composable Service-Oriented Manufacturing Systems

April 22, 2019
Author(s)
Nenad Ivezic, Boonserm Kulvatunyou, Michael P. Brundage, Yan Lu, Evan K. Wallace, Albert W. Jones
This report summarizes the results from the 2018 NIST/OAGi Workshop: Enabling Composable Service-Oriented Manufacturing Systems, which was held at the National Institute of Standards and Technology campus in Gaithersburg, MD, on April 23-24, 2018. This was

ENABLING CONTROL SYSTEM AND CLOUD-BASED SIMULATION SERVICE INTEROPERABILITY

December 12, 2018
Author(s)
Albert W. Jones, Guodong Shao, Frank H. Riddick
The latest innovations in Information and Communication Technologies (ICT) will change manufacturing and simulation forever. Ideas such as Industry 4.0, Internet of Things, and Industrial Internet are dictating those changes. One of those changes involves

Categorical Models for Process Planning

November 19, 2018
Author(s)
Spencer J. Breiner, Eswaran Subrahmanian, Albert W. Jones
Process plans provide a structure for 1) identifying the tasks involved in a given process, 2) the resources needed to accomplish them, and 3) a variety of relationships and constraints between these. This information guides important operational decisions

Modeling Agents as Joint Cognitive Systems in Smart Manufacturing Systems

June 11, 2018
Author(s)
Albert T. Jones, David david.romero.diaz@gmail.com Romero, Thorsten Wuest
Latest innovations and developments in Information and Communication Technologies (ICTs) as well as Operational Technologies (OTs) are changing manufacturing forever. Ideas such as Industry 4.0 and the Industrial Internet of Things (IIoT) are attempting to