Assessing the precision of strain measurements using electron backscatter diffraction – part 1: Detector assessment

Britton, T. Ben; Jiang, Jun; Clough, R.; Tarleton, Edmund; Kirkland, Angus I.

doi:10.1016/j.ultramic.2013.08.005

Cited by 48 publications

(38 citation statements)

References 22 publications

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“…The full detail of the HR-EBSD methodology for residual stress determination may be found in [31][32][33]. A segment of the (OFHC) copper polycrystal is identified and illustrated in Fig.…”

Section: Microstructure Sensitivity In Polycrystalline Copper Using Hmentioning

confidence: 99%

An HR-EBSD and computational crystal plasticity investigation of microstructural stress distributions and fatigue hotspots in polycrystalline copper

et al. 2016

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High resolution EBSD studies on a deformed copper polycrystal have been carried out to quantify the microstructural residual stress distributions, and those of stress state including triaxiality of importance in defect nucleation studies. Crystal plasticity analysis of a representative, similarly textured, model polycrystal has been carried out showing that the experimental distributions of microstructural residual stress components, effective stress, hydrostatic stress and stress triaxiality are well captured.The crystal model enables point-wise microstructural Schmid factors to be calculated both globally (ie with respect to the macroscopic remote loading) and locally from full knowledge of the grain-level stress state. Significant differences are demonstrated such that global Schmid analysis tends to overestimate slip activity and the frequency of high Schmid factors, indicating that the local microstructural heterogeneity is significant and caution is necessary in interpreting polycrystal behaviour using global Schmid factors. A stored energy criterion for fatigue crack nucleation indicates that preferential sites for fatigue crack nucleation are local to grain boundaries (as opposed to triple junctions), and that hard-soft grain interfaces where high GND densities develop are preferable.

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“…The full detail of the HR-EBSD methodology for residual stress determination may be found in [31][32][33]. A segment of the (OFHC) copper polycrystal is identified and illustrated in Fig.…”

Section: Microstructure Sensitivity In Polycrystalline Copper Using Hmentioning

confidence: 99%

An HR-EBSD and computational crystal plasticity investigation of microstructural stress distributions and fatigue hotspots in polycrystalline copper

et al. 2016

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“…Restricting the analysis to a 30 lm Â 30 lm section more representative of a grain area reduces the standard deviation to 22 MPa, which corresponds to a strain error of $2.8 Â 10 À4 which is in reasonable agreement with the previous estimates. 5,16 For the Cu data, the central part of the distribution is well represented by a Gaussian. At high stress magnitudes, the probabilities above that expected are referred to as "tails".…”

mentioning

confidence: 99%

Measurement of probability distributions for internal stresses in dislocated crystals

Wilkinson

Tarleton

Vilalta‐Clemente

et al. 2014

Applied Physics Letters

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“…It has been reported that the precision of elastic strain measurement is affected by factors related to EBSD measurement, including the exposure time, detector geometry, pattern binning, and projection parameters during beam scan [27][28][29]. In addition, an investigation into the correlation method has been conducted to improve its precision [30].…”

Section: Introductionmentioning

confidence: 99%

Effect of reference point selection on microscopic stress measurement using EBSD

Mikami

Oda

Kamaya³

et al. 2015

Materials Science and Engineering: A

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Assessing the precision of strain measurements using electron backscatter diffraction – part 1: Detector assessment

Cited by 48 publications

References 22 publications

An HR-EBSD and computational crystal plasticity investigation of microstructural stress distributions and fatigue hotspots in polycrystalline copper

An HR-EBSD and computational crystal plasticity investigation of microstructural stress distributions and fatigue hotspots in polycrystalline copper

Measurement of probability distributions for internal stresses in dislocated crystals

Effect of reference point selection on microscopic stress measurement using EBSD

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