2007
DOI: 10.3139/146.101578
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Influence of external and internal length scale on the flow stress of copper

Abstract: The flow stress of bulk specimens is known to depend on the microstructure. With a reduction of specimen dimensions into the micrometer and nanometer regime, specimen size-effects also influence the mechanical properties. We characterized the size-dependent flow stress of copper over more than three orders of magnitude, starting from several tens of micrometers down to a few tens of nanometers. For this purpose nanoindentation, micro-compression, and tensile testing experiments were performed. Additionally, di… Show more

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Cited by 25 publications
(16 citation statements)
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“…A potential fit to the data leads to a power exponent of −0.4. For comparison, the shear stress at 10% tensile strain of high purity bulk Cu with an average grain size of 10 m, comparable to the largest inves- tigated specimen size, amounts to 72 MPa [38,39] (dashed line in Fig. 3).…”
Section: Resultsmentioning
confidence: 98%
“…A potential fit to the data leads to a power exponent of −0.4. For comparison, the shear stress at 10% tensile strain of high purity bulk Cu with an average grain size of 10 m, comparable to the largest inves- tigated specimen size, amounts to 72 MPa [38,39] (dashed line in Fig. 3).…”
Section: Resultsmentioning
confidence: 98%
“…There are several publications in which experimental evidence for dislocation pile-ups and forests in severely deformed FCC metals has been presented, e.g. [55][56][57]. With decreasing grain size, the density of dislocations increases strongly and their interactions prevent reliable observations in TEM experiments.…”
Section: Attainment Of a Minimum Grain Size In A Ufg Materialsmentioning
confidence: 99%
“…Some data for copper wires in tension using an in situ tensometer have been previously published in part [21,22]. New fits are made to the data and are reported here.…”
Section: Foils and Wires In Tensionmentioning
confidence: 91%
“…However, rather than try to fit each theory separately to the data (which can require iterative numerical calculations [21]), here we parameterise the data by using the approximation that " P (z) is given by substituting " ¼ L z into Equations (14) and (15), for the fits to the square-root and linear strain-hardening parts of the data sets, respectively. Then we define z 0 as the height above the neutral plane at which the strain reaches AE" Y , given by z…”
Section: Appendixmentioning
confidence: 99%
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