Published January 2021 | Version v1
Journal article

On the extraction of yield stresses from micro-compression experiments

  • 1. Department of Materials Science and Metallurgy, University of Cambridge, 27 Charles Babbage Road, Cambridge, CB3 0FS (United Kingdom)
  • 2. Department of Materials, University of Oxford, Parks Road, Oxford, OX1 3PH (United Kingdom)
  • 3. Laboratory for Mechanics of Materials and Nanostructures, EMPA, Swiss Federal Laboratories for Materials Science and Technology, Feuerwerkerstrasse 39, 3602, Thun (Switzerland)
  • 4. ASPPRC, Department of Metallurgical and Materials Engineering, Colorado School of Mines, 1500 Illinois St., Golden, CO 80401 (United States)

Description

Highlights: • Digital image correlation used to aid analysis of micro-compressive loading curves. • Linking of deformation events to features in loading curve via strain comparison. • Elimination of systematic errors related to micro-compression test setup. • Substantial reduction of uncertainty of CRSS values extracted. It is widely stated that yield stress extraction from micro-compression testing can be unreliable due to factors such as the pillar taper, pillar-punch misalignment and lateral displacement for example through discrete slip events. This study reports on how these factors can be eradicated when using digital image correlation based strain mapping. This approach is demonstrated through a conventional micropillar compression experiment using the hexagonal MAX phase system Cr2AlC. The use of this approach enables the uncertainty of the extracted yield stress values to be significantly reduced and effectively increases the precision of critical resolved shear stress extraction for basal plane slip from ±52% to ±4% of the mean value. The findings suggest that the statistical variations commonly observed in micro-compression tests may frequently be linked to systematic errors in the stress measurements taken, and that precise evaluation of deformation statistics can only be facilitated if the pillar deformation morphology is closely monitored.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.msea.2020.140323

Additional details

Identifiers

DOI
10.1016/j.msea.2020.140323;
PII
S0921509320313873;

Publishing Information

Journal Title
Materials Science and Engineering. A, Structural Materials: Properties, Microstructure and Processing
Journal Volume
800
Journal Page Range
vp.
ISSN
0921-5093
CODEN
MSAPE3

INIS

Country of Publication
Netherlands
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
54038742
Subject category
S36: MATERIALS SCIENCE;
Descriptors DEI
DEFORMATION; ERRORS; MORPHOLOGY; PLASTICITY; TESTING
Descriptors DEC
MECHANICAL PROPERTIES

Optional Information

Copyright
Copyright (c) 2020 Elsevier B.V. All rights reserved.