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Search Publications by: Paul Witherell (Fed)

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Displaying 101 - 125 of 177

A DOMAIN DRIVEN APPROACH TO METAMODELING IN ADDITIVE MANUFACTURING

September 6, 2017
Author(s)
Peter O. Denno, Yan Lu, Paul Witherell, Sundar Krishnamurty, Ian Grosse, Douglas Eddy
Recent studies have shown advantages to utilizing metamodeling techniques to mimic, analyze, and optimize system input-output relationships in Additive Manufacturing (AM). This paper addresses a key challenge in applying such metamodeling methods, namely

A Collaborative Data Management System for Additive Manufacturing

August 9, 2017
Author(s)
Yan Lu, Paul W. Witherell, M A. Donmez
As additive manufacturing (AM) continues to mature as a production technology, the limiting factors that have hindered its adoption in the past still exist, for example, process repeatability and material availability issues. Overcoming many of these

INVESTIGATING GREY-BOX MODELING FOR PREDICTIVE ANALYTICS IN SMART MANUFACTURING

August 8, 2017
Author(s)
Peter O. Denno, Yan Lu, Paul Witherell, Sundar Krishnamurty, Ian Grosse, Douglas Eddy
This paper develops a grey-box modeling approach that combines manufacturing knowledge-based (white-box) models with statistical (black-box) metamodels to improve model reusability and predictability. A white-box model can utilize different types of

Building Connections through Standards Landscaping

June 7, 2017
Author(s)
Paul W. Witherell, Yan Lu
Standards are an essential part of how we do business, from communication, to establishing best practices, to achieving quality control. As commerce and technology continues to diversify, standards, and standard organizations, have become increasingly

Design for Powder Bed Fusion of Metal Parts

April 1, 2017
Author(s)
Paul Witherell
Advancements in metals-focused technologies have taken 3D printing from a prototyping technology to an advanced, additive manufacturing (AM) production technology having a roadmap for even greater advancements [1].Most of today's commercially available

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

CHALLENGES IN TOLERANCE TRANSFER FOR ADDITIVE MANUFACTURING

September 22, 2016
Author(s)
Gaurav Ameta, Shawn P. Moylan, Paul Witherell
Abstract: From the design point of view, datum features are used to imply design intent of particular function of the part or sequence of assembly of components in a product. Each feature in a part could potentially have different datum reference based on

Identifying uncertainty in laser powder bed fusion additive manufacturing models

September 4, 2016
Author(s)
Felipe F. Lopez, Paul W. Witherell, Brandon M. Lane
As additive manufacturing (AM) matures, models are beginning to take a more prominent stage in design and process planning for AM. A limitation frequently encountered in AM models is a lack of indication about their precision and accuracy. Often overlooked

Ontology-based laser and thermal metamodels for metal-based additive manufacturing

August 24, 2016
Author(s)
Paul Witherell, Ibrahim Assouroko, Roh Byeong-Min, Timothy Simpson, Soundar Kumara
Additive manufacturing (AM) is creating renewed interest in manufacturing thanks to the freedom it provides to design and innovate. One of the biggest challenges in AM is inadequate repeatability in product quality and reliability of the process for