2020
DOI: 10.3390/met10101353
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The Effect of Material Properties on the Accuracy of Superplastic Tensile Test

Abstract: Tensile testing is widely used for the mechanical characterization of materials subjected to superplastic deformation. At the same time, it is known that the obtained flow data are affected by specimen geometry. Thus, they characterize the specimen rather than the material. This work provides the numerical analysis aimed to study how the material flow behavior affects the results of tensile tests. The simulations were performed by the finite element method in Abaqus software, utilizing user-defined procedures … Show more

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Cited by 9 publications
(6 citation statements)
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“…Tang et al [169] investigated the influence of fine powders. As a result, capillary force improved from 8.35 to 16.27 kPa, increasing compression strength from 1.5 to 3.21 MPa.…”
Section: Indirect Methodsmentioning
confidence: 99%
See 3 more Smart Citations
“…Tang et al [169] investigated the influence of fine powders. As a result, capillary force improved from 8.35 to 16.27 kPa, increasing compression strength from 1.5 to 3.21 MPa.…”
Section: Indirect Methodsmentioning
confidence: 99%
“…Reproduced under the terms of the CC BY license. [169] Copyright 2020, MDPI. such as quick production, the ability to manufacture a wide variety of components with complicated geometry, increased proficiency, fine grain size and phase composition, and decreased energy consumption.…”
Section: Future Perspectivementioning
confidence: 99%
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“…The first group of contributions to this special issue faces this precise sub-topic. The contribution by Aksenov Mikolaenko [1] explores a wide range of materials by finite element (FE) simulations and, by doing that, reveals the strong influence of the material properties on the accuracy of results achieved in tensile tests in the superplastic field. In particular, the authors show the potential errors that could be made on the measurements of the strain rate sensitivity and on the strain softening.…”
Section: Contributionsmentioning
confidence: 99%