Document Type
Article
Publication Date
1-1-2022
Publication Title
Coatings
Volume
12
Issue
1
First page number:
1
Last page number:
16
Abstract
While deposited thin film coatings can help enhance surface characteristics such as hardness and friction, their effective incorporation in product design is restricted by the limited understand-ing of their mechanical behavior. To address this, an approach combining micro-indentation and meso/micro-scale simulations was proposed. In this approach, micro-indentation testing was conducted on both the coating and the substrate. A meso-scale uniaxial compression finite element model was developed to obtain a material model of the coating. This material model was incorporated within an axisymmetric micro-scale model of the coating to simulate the indentation. The proposed approach was applied to a Ti/SiC metal matrix nanocomposite (MMNC) coating, with a 5% weight of SiC nanoparticles deposited over a Ti-6Al-4V substrate using selective laser melting (SLM). Micro-indentation testing was conducted on both the Ti/SiC MMNC coating and the Ti-6Al-4V substrate. The results of the meso-scale finite element indicated that the MMNC coating can be represented using a bi-linear elastic-plastic material model, which was incorporated within an axisymmetric micro-scale model. Comparison of the experimental and micro-scale model results indicated that the proposed approach was effective in capturing the post-indentation behavior of the Ti/SiC MMNC coating. This methodology can also be used for studying the response of composite coatings with different percentages of reinforcements.
Keywords
Coating; Computational modeling; Material properties; Metal matrix nanocomposite (MMNC); Micro-indentation; Selective laser melting
Disciplines
Materials Chemistry | Semiconductor and Optical Materials
File Format
File Size
6940 KB
Rights
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Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Repository Citation
Shojaei, P.,
Scazzosi, R.,
Trabia, M.,
O’toole, B.,
Giglio, M.,
Zhang, X.,
Liao, Y.,
Manes, A.
(2022).
An Approach for Material Model Identification of a Composite Coating Using Micro-Indentation and Multi-Scale Simulations.
Coatings, 12(1),
1-16.
http://dx.doi.org/10.3390/coatings12010092