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Manufacturing

Additive manufacturing

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Displaying 376 - 388 of 388

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

Weld formation during material extrusion additive manufacturing

August 11, 2017
Author(s)
Jonathan E. Seppala, Seung Hoon Han, Kaitlyn E. Hillgartner, Chelsea S. Davis, Kalman D. Migler
Material extrusion (ME) is a layer-by-layer additive manufacturing process that is now used in personal and commercial production where prototyping and customization are required. However, parts produced from ME frequently exhibit poor mechanical

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

THERMAL PROPERTY MEASUREMENT METHODS AND ANALYSIS FOR AM SOLIDS AND POWDERS

August 9, 2017
Author(s)
Justin G. Whiting, Brandon M. Lane, Kevin Chou, Bo Cheng
Thermal properties of additive manufacturing (AM) solids and precursor materials are important factors for build process and part performance. However, measured thermal properties are not well documented, despite being used extensively in AM modeling and

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
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