TY - JOUR
T1 - Toward an integrated computational system for describing the additive manufacturing process for metallic materials
AU - Martukanitz, Richard
AU - Michaleris, Pan
AU - Palmer, Todd
AU - DebRoy, Tarasankar
AU - Liu, Zi Kui
AU - Otis, Richard
AU - Heo, Tae Wook
AU - Chen, Long Qing
N1 - Funding Information:
The authors would like to acknowledge the Open Manufacturing Program of the Defense Advance Research Project Agency for supporting portions of this work under ONR Grant N00014-12-1-0840 titled Manufacturing Demonstration Facility for Direct Digital Manufacturing (DDM). The authors would also like to acknowledge the contributions of Jamie Keist, Frederick Lia, Josh Park, Michael Gouge, and Josh Savitz in the preparation of this manuscript.
PY - 2014/10/1
Y1 - 2014/10/1
N2 - The ability to simulate the thermal, mechanical, and material response in additive manufacturing offers tremendous utility for gaining a deeper understanding of the process, while also having significant practical application. The approach and progress in establishing an integrated computational system for simulating additive manufacturing of metallic components are discussed, with the primary focus directed at the computational intensive components, which include the process and material models. The ability to experimentally measure key characteristics for verification of the models is also presented and is seen as critical in the development of the integrated computational system. Two examples are also presented that utilize the current features of the analyses techniques for exploring and applying additive manufacturing technology.
AB - The ability to simulate the thermal, mechanical, and material response in additive manufacturing offers tremendous utility for gaining a deeper understanding of the process, while also having significant practical application. The approach and progress in establishing an integrated computational system for simulating additive manufacturing of metallic components are discussed, with the primary focus directed at the computational intensive components, which include the process and material models. The ability to experimentally measure key characteristics for verification of the models is also presented and is seen as critical in the development of the integrated computational system. Two examples are also presented that utilize the current features of the analyses techniques for exploring and applying additive manufacturing technology.
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U2 - 10.1016/j.addma.2014.09.002
DO - 10.1016/j.addma.2014.09.002
M3 - Article
AN - SCOPUS:84915789011
VL - 1
SP - 52
EP - 63
JO - Additive Manufacturing
JF - Additive Manufacturing
SN - 2214-8604
ER -