Toward an integrated computational system for describing the additive manufacturing process for metallic materials

Richard Martukanitz; Pan Michaleris; Todd Palmer; Tarasankar DebRoy; Zi Kui Liu; Richard Otis; Tae Wook Heo; Long Qing Chen

doi:10.1016/j.addma.2014.09.002

Toward an integrated computational system for describing the additive manufacturing process for metallic materials

Richard Martukanitz, Pan Michaleris, Todd Palmer, Tarasankar DebRoy, Zi Kui Liu, Richard Otis, Tae Wook Heo, Long Qing Chen

Research output: Contribution to journal › Article › peer-review

130 Scopus citations

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	https://doi.org/10.1016/j.addma.2014.09.002
State	Published - Oct 1 2014

All Science Journal Classification (ASJC) codes

Biomedical Engineering
General Materials Science
Engineering (miscellaneous)
Industrial and Manufacturing Engineering

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10.1016/j.addma.2014.09.002

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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.",

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AU - DebRoy, Tarasankar

AU - Liu, Zi Kui

AU - Otis, Richard

AU - Heo, Tae Wook

AU - Chen, Long Qing

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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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Toward an integrated computational system for describing the additive manufacturing process for metallic materials

Abstract

All Science Journal Classification (ASJC) codes

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