Hostname: page-component-74656f9884-npj9w Total loading time: 0 Render date: 2026-11-09T13:59:04.953Z Has data issue: false hasContentIssue false

Quantifying Grain Level Stress-Strain Behavior for AM40 viaInstrumented Microindentation

Published online by Cambridge University Press:  13 January 2016

Guang Cheng
Affiliation:
Advanced Computational, Mathematics, and Data Division, Pacific Northwest National Laboratory, 902 Battelle Boulevard, Richland, WA 99352, U.S.A.
Erin I. Barker
Affiliation:
Advanced Computational, Mathematics, and Data Division, Pacific Northwest National Laboratory, 902 Battelle Boulevard, Richland, WA 99352, U.S.A.
Elizabeth V. Stephens
Affiliation:
Energy Processes and Materials Division, Pacific Northwest National Laboratory, 902 Battelle Boulevard, Richland, WA 99352, U.S.A.
Kyoo Sil Choi
Affiliation:
Advanced Computational, Mathematics, and Data Division, Pacific Northwest National Laboratory, 902 Battelle Boulevard, Richland, WA 99352, U.S.A.
Xin Sun*
Affiliation:
Advanced Computational, Mathematics, and Data Division, Pacific Northwest National Laboratory, 902 Battelle Boulevard, Richland, WA 99352, U.S.A.
*
Get access

Abstract

Microindentation is performed on hot isostatic pressed (HIP) Mg-Al (AM40) alloysamples produced by high-pressure die cast (HPDC) process for the purpose ofquantifying the mechanical properties of the α-Mg grains. The processof obtaining elastic modulus and hardness from indentation load-depth curves iswell established in the literature. A new inverse method is developed to extractplastic properties in this study. The method utilizes empirical yieldstrength-hardness relationship reported in the literature together with finiteelement modeling of the individual indentation. Due to the shallow depth of theindentation, indentation size effect (ISE) is taken into account whendetermining plastic properties. The stress versus strain behavior is determinedfor a series of indents. The resulting average values and standard deviationsare obtained for future use as input distributions for microstructure-basedproperty prediction of AM40.

Information

Type
Articles
Copyright
Copyright © Materials Research Society 2016 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Article purchase

Temporarily unavailable