Technical Papers
Aug 9, 2019

Strong-Form Collocation Method for Solidification and Mechanical Analysis of Polycrystalline Materials

Publication: Journal of Engineering Mechanics
Volume 145, Issue 10

Abstract

Materials engineering problems related to polycrystalline solids often require the prediction of grain growth and the stress analysis of polycrystalline materials. This study presents the particle difference method (PDM) as a reliable computational method applicable to this class of engineering problems. The PDM is a meshfree collocation method that directly discretizes the strong form of the governing partial differential equations based on Taylor series approximation and the moving least-squares approach. The PDM was applied to polycrystalline solids in the context of two-dimensional grain growth solidification and stress analysis of the resulting polycrystalline morphology. First, the PDM was used to predict grain growth during the solidification process of polycrystalline materials using a multiphase field model. Then the resulting morphology of the polycrystalline solids was adopted for successive stress analysis of the polycrystalline solids. Results from these analyses were compared with the results from the conventional finite-element method to verify the accuracy and efficacy of the PDM.

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Acknowledgments

The fourth and fifth authors acknowledge support for this work by the Office of Naval Research (ONR) through the Naval Research Laboratory’s core funding. The fifth author also acknowledges support for this work through the Idaho National Laboratory (INL) Laboratory Directed Research and Development Program (LDRD) under the Department of Energy (DOE) Idaho Operation Office Contract DE-AC07-05ID14517.

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Information & Authors

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Go to Journal of Engineering Mechanics
Journal of Engineering Mechanics
Volume 145Issue 10October 2019

History

Received: Oct 5, 2018
Accepted: Mar 18, 2019
Published online: Aug 9, 2019
Published in print: Oct 1, 2019
Discussion open until: Jan 9, 2020

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Authors

Affiliations

Ashkan Almasi
Graduate Research Assistant, Dept. of Civil, Environmental, and Architectural Engineering, Univ. of Colorado, Boulder, CO 80309.
Andrew Beel
Graduate Research Assistant, Dept. of Civil, Environmental, and Architectural Engineering, Univ. of Colorado, Boulder, CO 80309.
Tae-Yeon Kim
Assistant Professor, Dept. of Civil Infrastructure and Environmental Engineering, Khalifa Univ. of Science and Technology, Abu Dhabi 127788, United Arab Emirates.
John G. Michopoulos
Senior Research Scientist and Mechanical Engineer, Computational Multiphysics Systems Laboratory, Naval Research Laboratory, Washington, DC 20375.
Assistant Professor, Dept. of Civil, Environmental, and Architectural Engineering, Univ. of Colorado Boulder, Boulder, CO 80309 (corresponding author). ORCID: https://orcid.org/0000-0002-2932-440X. Email: [email protected]

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