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A methodology for obtaining plasticity characteristics of metallic coatings via instrumented indentation


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Authors

Reed, JL 
Dean, J 
Aldrich-Smith, G 

Abstract

A methodology is presented for inferring the yield stress and work-hardening characteristics of metallic coatings from indentation data. It involves iterative use of FEM modelling, with predicted outcomes (load-displacement relationships and residual indent shapes) being systematically compared with experimental data. The cases being considered are ones in which the indenter penetration depth is a significant fraction of the coating thickness, so that the properties of the substrate, and possibly of the interface, are of significance. The methodology is thus suitable for the testing of thin coatings. In the present work, the coatings were in fact relatively thick (hundreds of microns) and the (spherical) indenter penetration was a substantial fraction of this. In this way, the basic validity of the methodology could be investigated with minimal complications from effects related to microstructure, oxide films, surface roughness etc. Furthermore, the properties of both coating and substrate (in the through-thickness direction) were established separately via conventional compression testing. The systems studied were copper (yield stress ~15 MPa) on stainless steel (yield stress ~350 MPa) and vice versa. Both exhibited significant work hardening. It is concluded that the methodology is basically reliable, with relatively good sensitivity and resolution, although this does depend on several factors, which are highlighted in the paper. It is unlikely to be suitable for very thin (sub-micron) films, but should be reasonably accurate for coatings of thickness down to a few microns.

Description

Keywords

Indentation, Finite element analysis, Coatings, Plasticity

Journal Title

International Journal of Solids and Structures

Conference Name

Journal ISSN

0020-7683
1879-2146

Volume Title

80

Publisher

Elsevier BV
Sponsorship
Engineering and Physical Sciences Research Council (EP/I038691/1)
This work has been supported by EPSRC (grant RG62695) and also by AWE, as part of an ongoing collaboration aimed at the development of robust and user-friendly tools for the extraction of mechanical property characteristics from instrumented indentation data.