Modeling and Simulation of Nanoindentation
Abstract
Nanoindentation is a hardness test method applied to small volumes of material which can provide some unique effects and spark many related research activities. To fully understand the phenomena observed during nanoindentation tests, modeling and simulation methods have been developed to predict the mechanical response of materials during nanoindentation. However, challenges remain with those computational approaches, because of their length scale, predictive capability, and accuracy. This article reviews recent progress and challenges for modeling and simulation of nanoindentation, including an overview of molecular dynamics, the quasicontinuum method, discrete dislocation dynamics, and the crystal plasticity finite element method, and discusses how to integrate multiscale modeling approaches seamlessly with experimental studies to understand the length-scale effects and microstructure evolution during nanoindentation tests, creating a unique opportunity to establish new calibration procedures for the nanoindentation technique.
Recommended Citation
S. Huang and C. Zhou, "Modeling and Simulation of Nanoindentation," JOM Journal of the Minerals, Metals and Materials Society, vol. 69, no. 11, pp. 2256 - 2263, Minerals, Metals and Materials Society (TMS), Nov 2017.
The definitive version is available at https://doi.org/10.1007/s11837-017-2541-1
Department(s)
Materials Science and Engineering
Keywords and Phrases
Crystal Microstructure; Dislocations (Crystals); Microstructure; Molecular Dynamics; Nanoindentation, Computational Approach; Crystal Plasticity Finite Element Method; Discrete Dislocation Dynamics; Micro-Structure Evolutions; Modeling And Simulation Methods; Nanoindentation Techniques; Predictive Capabilities; Quasi-Continuum Methods, Finite Element Method
International Standard Serial Number (ISSN)
1047-4838; 1543-1851
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2017 Minerals, Metals and Materials Society (TMS), All rights reserved.
Publication Date
01 Nov 2017
Comments
This work was supported by an NSF CAREER Award (CMMI-1652662).