Simulation of metal additive manufacturing microstructures using kinetic Monte Carlo
Abstract
Additive manufacturing (AM) is of tremendous interest given its ability to realize complex, non-traditional geometries in engineered structural materials. But, microstructures generated from AM processes can be equally, if not more, complex than their conventionally processed counterparts. While some microstructural features observed in AM may also occur in more traditional solidification processes, the introduction of spatially and temporally mobile heat sources can result in significant microstructural heterogeneity. While grain size and shape in metal AM structures are understood to be highly dependent on both local and global temperature profiles, the exact form of this relation is not well understood. We implement an idealized molten zone and temperature-dependent grain boundary mobility in a kinetic Monte Carlo model to predict three-dimensional grain structure in additively manufactured metals. In order to demonstrate the flexibility of the model, synthetic microstructures are generated under conditions mimicking relatively diverse experimental results present in the literature. Simulated microstructures are then qualitatively and quantitatively compared to their experimental complements and are shown to be in good agreement.
- Authors:
- Publication Date:
- Research Org.:
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Org.:
- USDOE National Nuclear Security Administration (NNSA)
- OSTI Identifier:
- 1393265
- Alternate Identifier(s):
- OSTI ID: 1356842
- Report Number(s):
- SAND2017-4189J
Journal ID: ISSN 0927-0256; S0927025617301751; PII: S0927025617301751
- Grant/Contract Number:
- AC04-94AL85000
- Resource Type:
- Published Article
- Journal Name:
- Computational Materials Science
- Additional Journal Information:
- Journal Name: Computational Materials Science Journal Volume: 135 Journal Issue: C; Journal ID: ISSN 0927-0256
- Publisher:
- Elsevier
- Country of Publication:
- Netherlands
- Language:
- English
- Subject:
- 36 MATERIALS SCIENCE; 97 MATHEMATICS AND COMPUTING; kinetic Monte Carlo; microstructure; additive manufacturing
Citation Formats
Rodgers, Theron M., Madison, Jonathan D., and Tikare, Veena. Simulation of metal additive manufacturing microstructures using kinetic Monte Carlo. Netherlands: N. p., 2017.
Web. doi:10.1016/j.commatsci.2017.03.053.
Rodgers, Theron M., Madison, Jonathan D., & Tikare, Veena. Simulation of metal additive manufacturing microstructures using kinetic Monte Carlo. Netherlands. https://doi.org/10.1016/j.commatsci.2017.03.053
Rodgers, Theron M., Madison, Jonathan D., and Tikare, Veena. Sat .
"Simulation of metal additive manufacturing microstructures using kinetic Monte Carlo". Netherlands. https://doi.org/10.1016/j.commatsci.2017.03.053.
@article{osti_1393265,
title = {Simulation of metal additive manufacturing microstructures using kinetic Monte Carlo},
author = {Rodgers, Theron M. and Madison, Jonathan D. and Tikare, Veena},
abstractNote = {Additive manufacturing (AM) is of tremendous interest given its ability to realize complex, non-traditional geometries in engineered structural materials. But, microstructures generated from AM processes can be equally, if not more, complex than their conventionally processed counterparts. While some microstructural features observed in AM may also occur in more traditional solidification processes, the introduction of spatially and temporally mobile heat sources can result in significant microstructural heterogeneity. While grain size and shape in metal AM structures are understood to be highly dependent on both local and global temperature profiles, the exact form of this relation is not well understood. We implement an idealized molten zone and temperature-dependent grain boundary mobility in a kinetic Monte Carlo model to predict three-dimensional grain structure in additively manufactured metals. In order to demonstrate the flexibility of the model, synthetic microstructures are generated under conditions mimicking relatively diverse experimental results present in the literature. Simulated microstructures are then qualitatively and quantitatively compared to their experimental complements and are shown to be in good agreement.},
doi = {10.1016/j.commatsci.2017.03.053},
journal = {Computational Materials Science},
number = C,
volume = 135,
place = {Netherlands},
year = {Sat Jul 01 00:00:00 EDT 2017},
month = {Sat Jul 01 00:00:00 EDT 2017}
}
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https://doi.org/10.1016/j.commatsci.2017.03.053
https://doi.org/10.1016/j.commatsci.2017.03.053
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Cited by: 158 works
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- Babu, S. S.; Raghavan, N.; Raplee, J.
- Metallurgical and Materials Transactions A, Vol. 49, Issue 9
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- Rodgers, Theron M.; Lim, Hojun; Brown, Judith A.
- JOM, Vol. 72, Issue 1
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- Motaman, S. Amir H.; Kies, Fabian; Köhnen, Patrick
- JOM, Vol. 72, Issue 3
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- Polonsky, Andrew T.; Lang, Christian A.; Kvilekval, Kristian G.
- Integrating Materials and Manufacturing Innovation, Vol. 8, Issue 1
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- Gan, Zhengtao; Lian, Yanping; Lin, Stephen E.
- Integrating Materials and Manufacturing Innovation, Vol. 8, Issue 2
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- Uhlmann, Eckart; Krohmer, Erwin; Schmeiser, Felix
- Review of Scientific Instruments, Vol. 91, Issue 7
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- Rodgers, Theron M.; Mitchell, John A.; Tikare, Veena
- Modelling and Simulation in Materials Science and Engineering, Vol. 25, Issue 6
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- Herriott, Carl; Li, Xuxiao; Kouraytem, Nadia
- Modelling and Simulation in Materials Science and Engineering, Vol. 27, Issue 2
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- Ghosh, Supriyo
- Materials Research Express, Vol. 5, Issue 1