Mapping the mesoscale interface structure in polycrystalline materials

Wu, Chunzhi; Adams, Brent L.; Bauer, C.; Casasent, David P.; Morawiec, Adam; Özdemir, Serhat; Talukder, Ashit

doi:10.1016/s0304-3991(02)00151-1

Cited by 15 publications

(7 citation statements)

References 11 publications

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“…For tilted samples, distortion of EBSD images has been pointed out [16,17], and a geometric transformation has been proposed to correct the distortion based on SEM images on non tilted samples. The tilt correction has since been incorporated as a basic function in standard SEMs.…”

Section: Introductionmentioning

confidence: 99%

On the use of SEM correlative tools for in situ mechanical tests

et al. 2018

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In situ SEM mechanical tests are key to study crystal plasticity. In particular, imaging and diffraction (EBSD) allow microstructure and surface kinematics to be monitored all along the test. However, to get a full benefit from different modalities, it is necessary to register all images and crystallographic orientation maps from EBSD into the same frame. Different correlative approaches tracking either Pt surface markings, crystal orientations or grain boundaries, allow such registrations to be performed and displacement as well as rotation fields to be measured, a primary information for crystal plasticity identification. However, the different contrasts that are captured in different modalities and unavoidable stage motions also give rise to artifacts that are to be corrected to register the different information onto the same material points. The same image correlation tools reveal very powerful to correct such artifacts. Illustrated by an in situ uniaxial tensile test performed on a bainitic-ferritic steel sample, recent advances in image correlation techniques are reviewed and shown to provide a comprehensive picture of local strain and rotation maps.

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Section: Introductionmentioning

confidence: 99%

On the use of SEM correlative tools for in situ mechanical tests

et al. 2018

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“…A very similar way was described by WU et al 3 However, this will finally correct unknown effects which are caused by the microscope system and specific constant environmental conditions. A further but little discussed problem is the correct alignment of the sample.…”

Section: Introductionmentioning

confidence: 81%

Geometrically caused image distortion effects and their influence on interpretation of EBSD measurements

Nolze¹

2006

Materials Science and Technology

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The imaging of high tilted flat sample surfaces in scanning electron microscopy has some special characteristics. A typical example is the trapezium distortion which is only detectable at low magnifications. In contrast to this, a rhomboidal distortion is discussed in the present paper which appears independent of the magnification used. Rhomboidal distortion is also caused by a simple geometrical misalignment, an additional slight tilt of the sample surface out of the plane of the microscope stage or the pretilted sample holder. The rhomboidal distortion may affect all image related orientation descriptions, e.g. also a texture characterisation. In order to draw attention to this unexpected influence, some typical examples are given and a simplified solution is proposed.

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“…Former allows for a spatial distortion correction of EBSD data proposed by Nolze (2007); Kapur & Casasent (2000); Wu et al (2002). To reduce imaging-induced distortions in the SEM reference (1), high magnifications, long dwell times, and low working distances were utilized as suggested in Kammers & Daly (2013).…”

Section: Methodsmentioning

confidence: 99%

Micromechanical fatigue experiments for validation of microstructure-sensitive fatigue simulation models

Durmaz¹,

Natkowski²,

Arnaudov³

et al. 2021

Preprint

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Crack initiation governs high cycle fatigue life and is susceptible to microstructural details. While corresponding microstructure-sensitive models are available, their validation is difficult. We propose a validation framework where a fatigue test is mimicked in a sub-modeling simulation by embedding the measured microstructure into the specimen geometry and adopting the experimental boundary conditions. Exemplary, a phenomenological crystal plasticity model was applied to predict deformation in ferritic steel (EN1.4003).Hotspots in commonly used fatigue indicator parameter maps are compared with damage segmented from micrographs. Along with the data, the framework is published for benchmarking future micromechanical fatigue models.

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Mapping the mesoscale interface structure in polycrystalline materials

Cited by 15 publications

References 11 publications

On the use of SEM correlative tools for in situ mechanical tests

On the use of SEM correlative tools for in situ mechanical tests

Geometrically caused image distortion effects and their influence on interpretation of EBSD measurements

Micromechanical fatigue experiments for validation of microstructure-sensitive fatigue simulation models

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