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Derivation of material properties using small punch and shear punch test methods
Materials & Design, Volume: 215, Start page: 110473
Swansea University Authors:
Robert Lancaster , Spencer Jeffs
, Ben Haigh, Nick Barnard
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Copyright: 2022 The Authors. This is an open access article under the CC BY license
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DOI (Published version): 10.1016/j.matdes.2022.110473
Abstract
The Small Punch (SP) and Shear Punch (ShP) tests are well established mechanical test approaches that have found application in several industrial sectors for material ranking and mechanical property estimation, particularly where more conventional approaches are inhibited. Despite the advantages th...
Published in: | Materials & Design |
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ISSN: | 0264-1275 |
Published: |
Elsevier BV
2022
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Online Access: |
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URI: | https://cronfa.swan.ac.uk/Record/cronfa59463 |
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Abstract: |
The Small Punch (SP) and Shear Punch (ShP) tests are well established mechanical test approaches that have found application in several industrial sectors for material ranking and mechanical property estimation, particularly where more conventional approaches are inhibited. Despite the advantages that the two test methodologies have to offer, the main drawback is the complex understanding of the mechanical data generated from the experiments and how it can be correlated to more recognised properties. Typically, the most desired properties relate to the uniaxial properties of yield stress, ultimate tensile strength and ductility, but to date, there is no single robust and overarching approach for correlating such properties for a wide array of metallic materials that exhibit varying levels of ductility. This paper will for the first time directly compare properties obtained from a series of uniaxial tensile, SP and ShP tests across several metallic materials, and look to establish and correlate equivalent properties across the different test types. The materials investigated range from commercially pure entities to more advanced alloy systems. The generated results, empirical relationships and numerical simulations will inform which materials can be correlated across the different test regimes, and identify why the relationship in certain materials breaks down. |
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College: |
Faculty of Science and Engineering |
Start Page: |
110473 |