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Bridging the Gap Between Bulk Properties and Confined Behavior Using Finite Element Analysis

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Proceedings of the 4th World Congress on Integrated Computational Materials Engineering (ICME 2017)

Part of the book series: The Minerals, Metals & Materials Series ((MMMS))

Abstract

Theoretically and empirically based models of materials properties are crucial tools in development of new materials; however, these models are often restricted to certain systems due to assumptions or fitting parameters. When expanding a model into alternative systems it is therefore necessary to have sufficient experimental data. When working with composite or highly confined materials, such as layered structures or coatings, this can be problematic as most available data is on bulk materials. The present work displays the potential of using Finite Element Method (FEM) simulations as a tool to understand experimental observations and expand existing models to new systems using only bulk properties of the constituent phases. The present work focuses on the effect of geometrical constraints on the indentation behavior of elasto-plastic materials as an example on how FEM may be used to better understand experimental observations in composite or layered materials. The results may also be integrated into phenomenological models, expanding their application range.

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Acknowledgements

This work was carried out in the NoCo project, within the strategic innovation programme Metallic Materials, co-financed by the Swedish Innovation Agency Vinnova, and in collaboration with the VINN Excellence Center Hero-m. The authors would like to express their gratitude towards Prof. Jonas Faleskog (KTH Royal Institute of Technology) for his expertise and helpfulness.

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Correspondence to David Linder .

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© 2017 The Minerals, Metals & Materials Society

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Linder, D., Ă…gren, J., Borgenstam, A. (2017). Bridging the Gap Between Bulk Properties and Confined Behavior Using Finite Element Analysis. In: Mason, P., et al. Proceedings of the 4th World Congress on Integrated Computational Materials Engineering (ICME 2017). The Minerals, Metals & Materials Series. Springer, Cham. https://doi.org/10.1007/978-3-319-57864-4_10

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