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Developing a Crystal Plasticity Model for Metallic Materials Based on the Discrete Element Method

Published online by Cambridge University Press:  13 June 2017

Agnieszka Truszkowska ,
Qin Yu ,
Peter Alex Greaney ,
T. Matthew Evans  and
Jamie J. Kruzic
Agnieszka Truszkowska*
Affiliation:
School of Mechanical, Industrial, and Manufacturing Engineering, Oregon State University, Corvallis, USA School of Civil and Construction Engineering, Oregon State University, Corvallis, USA
Qin Yu
Affiliation:
School of Mechanical, Industrial, and Manufacturing Engineering, Oregon State University, Corvallis, USA
Peter Alex Greaney
Affiliation:
Department of Mechanical Engineering, University of California Riverside, Riverside, USA
T. Matthew Evans
Affiliation:
School of Civil and Construction Engineering, Oregon State University, Corvallis, USA
Jamie J. Kruzic
Affiliation:
School of Mechanical and Manufacturing Engineering, UNSW Sydney, Sydney, Australia
*
*(Email: truszkoa@oregonstate.edu)
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Abstract

Failure of metallic materials due to plastic and/or creep deformation occur by the emergence of necking, microvoids, and cracks at heterogeneities in the material microstructure. While many traditional deformation modeling approaches have difficulty capturing these emergent phenomena, the discrete element method (DEM) has proven effective for the simulation of materials whose properties and response vary over multiple spatial scales, e.g., bulk granular materials. The DEM framework inherently provides a mesoscale simulation approach that can be used to model macroscopic response of a microscopically diverse system. DEM naturally captures the heterogeneity and geometric frustration inherent to deformation processes. While DEM has recently been adapted successfully for modeling the fracture of brittle solids, to date it has not been used for simulating metal deformation. In this paper, we present our progress in reformulating DEM to model the key elastic and plastic deformation characteristics of FCC polycrystals to create an entirely new crystal plasticity modeling methodology well-suited for the incorporation of heterogeneities and simulation of emergent phenomena.

Keywords

simulationmetalalloy
Type
Articles
Information
MRS Advances , Volume 2 , Issue 48: Characterization, Theory and Modeling , 2017 , pp. 2609 - 2614
Copyright
Copyright © Materials Research Society 2017 

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References

REFERENCES

Pineau, A. and Antolovich, S.D, Eng. Fail. Anal. 16(8), 2668–2697 (2009).CrossRefGoogle Scholar
Cundall, P. A., Strack, O. D., Geotechnique 29(1), 47–65 (1979).CrossRefGoogle Scholar
Silling, S. A., J. Mech. Phys. Solids 48, 175–209 (2000).CrossRefGoogle Scholar
Braun, M. and Fernandez-Saez, J., Int. J. Fracture 197(1), 81-97 (2016).CrossRefGoogle Scholar
Evans, T. M. and Frost, J. D., Int. J. Numer. Anal. Met. 34(15),1634–1650 (2010).CrossRefGoogle Scholar
Potyondy, D. and Cundall, P., Int. J. Rock Mech. Min. 41(8), 1329–1364 (2004).CrossRefGoogle Scholar
Wang, Y.-H., Xu, D., and Tsui, K. Y., J. Geotech. Geoenviron. 134(9), 1407–1411 (2008).CrossRefGoogle Scholar
Yuanqiang, T., Yang, D., and Sheng, Y., J. Eur. Ceram. Soc., 29.6 1029-1037 (2009).Google Scholar
Leclerc, W., Haddad, H., and Guessasma, M., Int. J. Solids Struct. 108, 98–114 (2017).CrossRefGoogle Scholar
Kruzic, J. J., Adv. Eng. Mater. 18, 1308–1331 (2016)CrossRefGoogle Scholar
Simmons, G. and Wang, H., Single crystal elastic constants and calculated aggregate properties: a handbook, 2nd ed. (M.I.T. Press, Cambridge, 1971)Google Scholar