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Search Publications by: Shaw C Feng (Fed)

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Displaying 1 - 25 of 91

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

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

A Review Of Machine Learning Applications In Additive Manufacturing

August 17, 2019
Author(s)
Saadia A. Razvi, Shaw C. Feng, Anantha Narayanan Narayanan, Yung-Tsun Lee, Paul Witherell
Variability in product quality continues to pose a major barrier to the widespread application of additive manufacturing (AM) processes in production environment. Towards addressing this barrier, the monitoring of AM processes and the measuring of AM

Scheduling Policies in Flexible Bernoulli Lines with Dedicated Finite Buffers

July 2, 2018
Author(s)
Shaw C. Feng, Yuan Feng, Xiang Zhong, Wenhui Fan, Jingshan Li
This paper is devoted to studying scheduling policies in flexible serial lines with two Bernoulli machines and dedicated finite buffers. Priority, cyclic and work-in-process (WIP)-based scheduling policies are investigated. For small scale systems, exact

Environmental KPI Selection Using Criteria Value and Demonstration

September 7, 2017
Author(s)
Shaw C. Feng, Deogratias Kibira
Determining key performance indicators (KPI) is a first step in achieving environmen-tal sustainability of manufacturing operations. KPI selection is a multi-criteria decision making problem, because of various criteria that must be considered. Intuitively

TOWARDS KNOWLEDGE MANAGEMENT FOR SMART MANUFACTURING

July 4, 2017
Author(s)
Shaw C. Feng, William Z. Bernstein, Thomas D. Hedberg Jr., Allison Barnard Feeney
The need for capturing knowledge in the digital form in design, process planning, production, and inspection has increasingly become an issue in manufacturing industries as the variety and complexity of product lifecycle applications increase. Both

PROCEDURE FOR DEVELOPING KEY PERFORMANCE INDICATORS FOR SUSTAINABLE MANUFACTURING

June 8, 2017
Author(s)
Shaw C. Feng, Deogratias Kibira, Michael P. Brundage, Katherine C. Morris
The need for an open, inclusive, and neutral procedure for developing key performance indicators (KPIs) has been increasing as manufacturers seek to determine what to measure in order to improve environmental sustainability of their products and

Towards a Digital Thread and Data Package for Metals Additive Manufacturing

March 6, 2017
Author(s)
Paul Witherell, Yan Lu, Shaw C. Feng, Duckbong Kim
Additive manufacturing (AM) has been envisioned by many as the next industrial revolution. Potential benefits of AM include the production of low-volume, customized, complicated parts/products, supply chain efficiencies, shortened time-to-market, and

Activity Model for Homogenization of Data Sets in Laser-based Powder Bed Fusion

January 14, 2017
Author(s)
Shaw C. Feng, Paul W. Witherell, Duck B. Kim
Additive Manufacturing (AM) processes are the integration of many different science and engineering-related disciplines, such as material metrology, design, process planning, in-situ and off-line measurements, and controls. Major integration challenges