6 research outputs found

    On three-dimensional misorientation spaces.

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    Determining the local orientation of crystals in engineering and geological materials has become routine with the advent of modern crystallographic mapping techniques. These techniques enable many thousands of orientation measurements to be made, directing attention towards how such orientation data are best studied. Here, we provide a guide to the visualization of misorientation data in three-dimensional vector spaces, reduced by crystal symmetry, to reveal crystallographic orientation relationships. Domains for all point group symmetries are presented and an analysis methodology is developed and applied to identify crystallographic relationships, indicated by clusters in the misorientation space, in examples from materials science and geology. This analysis aids the determination of active deformation mechanisms and evaluation of cluster centres and spread enables more accurate description of transformation processes supporting arguments regarding provenance

    Infusion of hydrogen into nanostructured bainitic steel.

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    The trapping of hydrogen in nanostructured bainitic steel has been investigated using thermal desorption analysis, in order to determine the potency of the ferrite-retained austenite (?/?) interfaces and retained austenite as trapping sites. Thermal desorption data showed that the volume of retained austenite is more effective in trapping hydrogen than the interfaces. There is a close correlation between the quantity of hydrogen and the retained austenite content rather than the density of interfaces. A local equilibrium model was able to reproduce the hydrogen desorption behaviour of saturated and unsaturated samples considering both retained austenite and ?/? interfaces as the trapping sites. A trap binding energy ranging from 47 to 52 kJ/mol was estimated for retained austenite, suggesting that the observed trapping capacity originates from the austenite lattice sites

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    Determining the local orientation of crystals in engineering and geological materials has become routine with the advent of modern crystallographic mapping techniques. These techniques enable many thousands of orientation measurements to be made, directing attention towards how such data are best analysed and plotted. Here, we provide a guide to the visualization of misorientation data in three-dimensional (3D) vector spaces, reduced by crystal symmetry, to reveal crystallographic orientation relationships. By choosing an appropriate vector space, domains for all point group symmetries become accessible and fundamental zones are presented for combinations of all Laue classes. An analysis methodology is then developed and applied to identify crystallographic relationships in examples from materials science and geology. These examples highlight key advantages of analysing misorientations as 3D vectors. In particular, identification of misorientation clusters highlights the presence of previously unknown orientation relationships and helps determining active deformation mechanisms. Evaluation of cluster spread and centre allows for a more accurate description of transformation processes and quantification of clusters can be used for arguments of a sample's provenance

    9144317nkhzzqpxnqgc.zip from On three-dimensional misorientation spaces

    No full text
    Determining the local orientation of crystals in engineering and geological materials has become routine with the advent of modern crystallographic mapping techniques. These techniques enable many thousands of orientation measurements to be made, directing attention towards how such data are best analysed and plotted. Here, we provide a guide to the visualization of misorientation data in three-dimensional (3D) vector spaces, reduced by crystal symmetry, to reveal crystallographic orientation relationships. By choosing an appropriate vector space, domains for all point group symmetries become accessible and fundamental zones are presented for combinations of all Laue classes. An analysis methodology is then developed and applied to identify crystallographic relationships in examples from materials science and geology. These examples highlight key advantages of analysing misorientations as 3D vectors. In particular, identification of misorientation clusters highlights the presence of previously unknown orientation relationships and helps determining active deformation mechanisms. Evaluation of cluster spread and centre allows for a more accurate description of transformation processes and quantification of clusters can be used for arguments of a sample's provenance
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