Determination of mechanical properties using sharp macro-indentation method and genetic algorithm

Hosseinzadeh, A. R.; Mahmoudi, A. H.

Abstract

To determine mechanical properties, instrumented indentation is a non-destructive one where traditional methods (such as tensile test) are not accessible. However, there are several serious challenges when trying to correctly use this technique.

Here, a method to predict the steel stress-strain uniaxial curve is presented accompanied by an experimental verification. A wide range of Finite Element (FE) analyses using Vickers indentation were performed in order to generate an accurate equation. The experimental validation was followed by a general new procedure to achieve material properties by maximum precision and without any insight observation. Five dimensionless parameters obtained from the load-penetration (P-h) curve were used. Error function was constituted using a linear combination by these five. Genetic Algorithm (GA) was finally employed to estimate yield stress and strain-hardening exponent. A maximum of 4 percent error was observed between the stress-strain curves obtained by the macro indentation test and those determined by the conventional tensile test.

• Journal Article Type: Article
• Acceptance Date: Jul 11, 2017
• Online Publication Date: Jul 17, 2017
• Publication Date: Nov 1, 2017
• Deposit Date: Jul 11, 2024
• Journal: Mechanics of Materials
• Print ISSN: 0167-6636
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 114
• Pages: 57-68
• DOI: https://doi.org/10.1016/j.mechmat.2017.07.004
• Public URL: https://uwe-repository.worktribe.com/output/12101878
• Additional Information: This article is maintained by: Elsevier; Article Title: Determination of mechanical properties using sharp macro-indentation method and genetic algorithm; Journal Title: Mechanics of Materials; CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.mechmat.2017.07.004; Content Type: article; Copyright: © 2017 Elsevier Ltd. All rights reserved.