The Experts below are selected from a list of 360 Experts worldwide ranked by ideXlab platform
Thomas Benjamin Britton - One of the best experts on this subject based on the ideXlab platform.
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gazing at crystal balls electron backscatter diffraction pattern analysis and cross correlation on the sphere
Ultramicroscopy, 2019Co-Authors: Ralf Hielscher, Felix Bartel, Thomas Benjamin BrittonAbstract:Abstract We present spherical analysis of electron backscatter diffraction (EBSD) patterns with two new algorithms: (1) band localisation and band profile analysis using the spherical Radon transform; (2) orientation determination using spherical cross correlation. These new approaches are formally introduced and their accuracies are determined using dynamically simulated patterns. We demonstrate their utility with an Experimental Dataset obtained from ferritic iron. Our results indicate that the analysis of EBSD patterns on the sphere provides an elegant method of revealing information from these rich sources of crystallographic data.
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gazing at crystal balls electron backscatter diffraction pattern analysis and cross correlation on the sphere
arXiv: Materials Science, 2018Co-Authors: Ralf Hielscher, Felix Bartel, Thomas Benjamin BrittonAbstract:We present spherical analysis of electron backscatter diffraction (EBSD) patterns with two new algorithms: (1) band localisation and band profile analysis using the spherical Radon transform; (2) orientation determination using spherical cross correlation. These new approaches are formally introduced and their accuracies are determined using dynamically simulated patterns. We demonstrate their utility with an Experimental Dataset obtained from ferritic iron. Our results indicate that the analysis of EBSD patterns on the surface of the sphere provides an elegant method of revealing information from these rich sources of crystallographic data.
Ralf Hielscher - One of the best experts on this subject based on the ideXlab platform.
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gazing at crystal balls electron backscatter diffraction pattern analysis and cross correlation on the sphere
Ultramicroscopy, 2019Co-Authors: Ralf Hielscher, Felix Bartel, Thomas Benjamin BrittonAbstract:Abstract We present spherical analysis of electron backscatter diffraction (EBSD) patterns with two new algorithms: (1) band localisation and band profile analysis using the spherical Radon transform; (2) orientation determination using spherical cross correlation. These new approaches are formally introduced and their accuracies are determined using dynamically simulated patterns. We demonstrate their utility with an Experimental Dataset obtained from ferritic iron. Our results indicate that the analysis of EBSD patterns on the sphere provides an elegant method of revealing information from these rich sources of crystallographic data.
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gazing at crystal balls electron backscatter diffraction pattern analysis and cross correlation on the sphere
arXiv: Materials Science, 2018Co-Authors: Ralf Hielscher, Felix Bartel, Thomas Benjamin BrittonAbstract:We present spherical analysis of electron backscatter diffraction (EBSD) patterns with two new algorithms: (1) band localisation and band profile analysis using the spherical Radon transform; (2) orientation determination using spherical cross correlation. These new approaches are formally introduced and their accuracies are determined using dynamically simulated patterns. We demonstrate their utility with an Experimental Dataset obtained from ferritic iron. Our results indicate that the analysis of EBSD patterns on the surface of the sphere provides an elegant method of revealing information from these rich sources of crystallographic data.
Felix Bartel - One of the best experts on this subject based on the ideXlab platform.
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gazing at crystal balls electron backscatter diffraction pattern analysis and cross correlation on the sphere
Ultramicroscopy, 2019Co-Authors: Ralf Hielscher, Felix Bartel, Thomas Benjamin BrittonAbstract:Abstract We present spherical analysis of electron backscatter diffraction (EBSD) patterns with two new algorithms: (1) band localisation and band profile analysis using the spherical Radon transform; (2) orientation determination using spherical cross correlation. These new approaches are formally introduced and their accuracies are determined using dynamically simulated patterns. We demonstrate their utility with an Experimental Dataset obtained from ferritic iron. Our results indicate that the analysis of EBSD patterns on the sphere provides an elegant method of revealing information from these rich sources of crystallographic data.
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gazing at crystal balls electron backscatter diffraction pattern analysis and cross correlation on the sphere
arXiv: Materials Science, 2018Co-Authors: Ralf Hielscher, Felix Bartel, Thomas Benjamin BrittonAbstract:We present spherical analysis of electron backscatter diffraction (EBSD) patterns with two new algorithms: (1) band localisation and band profile analysis using the spherical Radon transform; (2) orientation determination using spherical cross correlation. These new approaches are formally introduced and their accuracies are determined using dynamically simulated patterns. We demonstrate their utility with an Experimental Dataset obtained from ferritic iron. Our results indicate that the analysis of EBSD patterns on the surface of the sphere provides an elegant method of revealing information from these rich sources of crystallographic data.
Peter Lund - One of the best experts on this subject based on the ideXlab platform.
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combining cfd and artificial neural network techniques to predict the thermal performance of all glass straight evacuated tube solar collector
Energy, 2021Co-Authors: Peter Lund, Jun WangAbstract:Abstract Thermal performance modelling and performance prediction of a novel all-glass straight-through evacuated tube collector is analyzed here. A mathematical model of the tube was developed and incorporated into CFD software for numerical performance simulation. To improve the thermal performance prediction of the collector, different artificial neural network (ANN) models were considered. A comprehensive Experimental Dataset with more than 200 samples were employed for testing of the models. Integrating the thermal simulation model with the ANN models by using modelled collector output as one of the input models, significantly improved the prediction accuracy of the ANN models. The predictions based on the CFD model alone gave the poorest accuracy compared to the ANN models. The convolutional neural network (CNN) model proved to be the best ANN model in terms of prediction accuracy.
Wang Jun - One of the best experts on this subject based on the ideXlab platform.
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Combining CFD and artificial neural network techniques to predict the thermal performance of all-glass straight evacuated tube solar collector
'Elsevier BV', 2023Co-Authors: Du Bin, Lund, Peter D., Wang JunAbstract:Thermal performance modelling and performance prediction of a novel all-glass straight-through evacuated tube collector is analyzed here. A mathematical model of the tube was developed and incorporated into CFD software for numerical performance simulation. To improve the thermal performance prediction of the collector, different artificial neural network (ANN) models were considered. A comprehensive Experimental Dataset with more than 200 samples were employed for testing of the models. Integrating the thermal simulation model with the ANN models by using modelled collector output as one of the input models, significantly improved the prediction accuracy of the ANN models. The predictions based on the CFD model alone gave the poorest accuracy compared to the ANN models. The convolutional neural network (CNN) model proved to be the best ANN model in terms of prediction accuracy.Peer reviewe
