Iterative Determination of the Orientation Relationship Between Austenite and Martensite from a Large Amount of Grain Pair Misorientations

Nyyssönen, Tuomo; Isakov, Matti; Peura, Pasi; Kuokkala, Veli‐Tapani

doi:10.1007/s11661-016-3462-2

Cited by 107 publications

(40 citation statements)

References 10 publications

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“…7. Parent austenite grain structure image reconstructed from EBSD data using the Matlab supplemented MTEX toolbox 16) taken from a transverse section of the cylindrical stainless steel specimen. The average grain size is also stated in the image.…”

Section: Discussionmentioning

confidence: 99%

“…Due to difficulties in revealing the parent austenite grain structure by etching, the MTEX texture and crystallography analysis toolbox 16) was applied to electron backscatter diffraction (EBSD) results obtained on a Zeiss Sigma field emission scanning electron microscope to reconstruct a parent austenite grain map for the sample following the procedure described by Javaheri et al 17) With local chemical compositions determined using EPMA, the development of the fraction martensite with temperature and the corresponding theoretical dilatational curves were constructed following the steps below:…”

Section: Methodsmentioning

confidence: 99%

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Influence of Microsegregation on the Onset of the Martensitic Transformation

2019

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Influence of Microsegregation on the Onset of the Martensitic Transformation

2019

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“…Simultaneous EBSD and EDS acquisition enables in-depth offline analysis of the region of interest, and we show results in Figure 2. We observe a strong orientation relationship in this field of view [18], which can be reconstructed using the Kudjimov -Sachs orientation relationship using the MTEX tool developed by Nyyssonen et al [19] (this reconstruction is not shown here). This can be observed not only within crystal orientation maps (shown colour coded with inverse pole figure colour with respect to the X and Z axes) as well as in the pole figure plots of the BCC and FCC phases.…”

Section: Bse Imaging In Reflection Modementioning

confidence: 61%

Space rocks and optimising scanning electron channelling contrast

Britton

Goran

Tong

2018

Materials Characterization

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Graphical Abstract AbstractForescatter electron imaging is a popular microscopy technique, especially for scanning electron microscopes equipped with an electron backscatter diffraction detector. In principal, this method enables qualitative imaging of microstructure but quantitative assessment can be limited due to limited information about the contrast afforded. In this work, we explore forescatter electron imaging and demonstrate that imaging can be optimised for topographic, phase, and subtle orientation contrast imaging through appropriate sample and detector positioning. We demonstrate the relationship between imaging modes using systematic variation in detector positioning and compare this with pseudo-forescatter electron images, obtained from image analysis of diffraction patterns, to explore and confirm image contrast modes. We demonstrate these contrast mechanisms on a map obtained from a sample of the Gibeon meteorite. KeywordsScanning electron microscopy; electron imaging; electron backscatter diffraction (EBSD); energy dispersive spectroscopy (EDS).

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“…Using EBSD data, the original prior austenite grains were reconstructed using MATLAB software with the aid of the MTEX texture and crystallographic analysis toolbox, as described by Javaheri et al . and Nyyssönen et al …”

Section: Methodsmentioning

confidence: 99%

Characterization of the Microstructure and Precipitates Formed During the Thermomechanical Processing of a CrNiMoWMnV Ultrahigh‐Strength Steel

Ali

Porter

Kömi

et al. 2020

steel research int.

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The effect of total applied strain (TAS), finish forging temperature (FFT) on the microstructure, and precipitation kinetics of a newly developed low‐cost, low‐alloy CrNiMoWMnV ultrahigh‐strength steel has been investigated. A Gleeble 3800 thermomechanical simulator is used to simulate the hot forging process and its influence on the precipitation kinetics. Field‐emission scanning electron microscopy combined with electron‐backscattered diffraction is used to characterize the final overall microstructures, whereas transmission electron microscopy on carbon extraction replicas is used to characterize the precipitates in terms of morphology, size distribution, mean equivalent circle diameter, the 90th percentile in the cumulative diameter distribution (D90%ppt), chemical composition, and crystallography. Thermo‐Calc software is used to predict the precipitates expected in austenite at equilibrium. The final microstructure consists of lath martensite and a small fraction of the precipitates AlN, TiN, and composite TiN–AlN. Differences in the degree of strain‐induced precipitation caused by variations in TAS and FFT have been shown to greatly influence precipitate size distributions. Variations in the degree of precipitate dissolution and coarsening cause variations in the prior austenite grain size, which subsequently cause variations in the effective grain size of the final microstructure, i.e., that are defined by high‐angle grain boundaries.

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Iterative Determination of the Orientation Relationship Between Austenite and Martensite from a Large Amount of Grain Pair Misorientations

Cited by 107 publications

References 10 publications

Influence of Microsegregation on the Onset of the Martensitic Transformation

Influence of Microsegregation on the Onset of the Martensitic Transformation

Space rocks and optimising scanning electron channelling contrast

Characterization of the Microstructure and Precipitates Formed During the Thermomechanical Processing of a CrNiMoWMnV Ultrahigh‐Strength Steel

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