Abstract
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.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 52-63 |
| Number of pages | 12 |
| Journal | Additive Manufacturing |
| Volume | 1 |
| DOIs | |
| State | Published - Oct 1 2014 |
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All Science Journal Classification (ASJC) codes
- Biomedical Engineering
- Materials Science(all)
- Engineering (miscellaneous)
- Industrial and Manufacturing Engineering
Cite this
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Toward an integrated computational system for describing the additive manufacturing process for metallic materials. / Martukanitz, Richard; Michaleris, Pan; Palmer, Todd; Debroy, Tarasankar; Liu, Zi-kui; Otis, Richard; Heo, Tae Wook; Chen, Long-qing.
In: Additive Manufacturing, Vol. 1, 01.10.2014, p. 52-63.Research output: Contribution to journal › Article
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
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.
UR - http://www.scopus.com/inward/record.url?scp=84915789011&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84915789011&partnerID=8YFLogxK
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 -