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Computational mechanical property determination of viscoelastic/plastic materials from nanoindentation creep test data

Published online by Cambridge University Press:  31 January 2011

Jianjun Wang  and
Timothy C. Ovaert
Jianjun Wang
Affiliation:
ABB Robotics, Windsor, Connecticut 06095
Timothy C. Ovaert*
Affiliation:
Department of Aerospace and Mechanical Engineering, University of Notre Dame, Notre Dame, Indiana 46556
*
a) Address all correspondence to this author. e-mail: tovaert@nd.edu
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Abstract

Nanoindentation is a widely accepted test method for materials characterization. On account of the complexity of contact deformation behavior, design of parametric constitutive models and determination of the unknown parameters is challenging. To address the need for identification of mechanical properties of viscoelastic/plastic materials from nanoindentation data, a combined numerical finite element/optimization-based indentation modeling tool was developed, fully self-contained, and capable of running on a PC as a stand-alone executable program. The approach uses inverse engineering and formulates the material characterization task as an optimization problem. The model development consists of finite element formulation, viscoelastic/plastic material models, heuristic estimation to obtain initial solution boundaries, and a gradient-based optimization algorithm for fast convergence to extract mechanical properties from the test data. A four-parameter viscoelastic/plastic model is presented, then a simplified three-parameter model with more rapid convergence. The end result is a versatile tool for indentation simulation and mechanical property analysis.

Keywords

NanoindentationSimulationViscoelasticity
Type
Articles
Information
Journal of Materials Research , Volume 24 , Issue 3 , March 2009 , pp. 1245 - 1257
Copyright
Copyright © Materials Research Society 2009

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