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Showing results for: [ Thermodynamics and Statistical Physics ]
The DCM software is a Microsoft Windows™-based application for 3D microstructure characterization, modelling and visualization. It include the following functionalities:
• Generate digital 3D represen... moretation of material compositional phases in a sample using the data-constrained modelling methodology and X-ray CT data, even for the cases that there are partial volumes of multiple phases in the same image voxel;
• Visual presentation of 3D volumetric data. The visualization is compatible with various display devices, including stereo 3D monitors;
• Exporting 3D data in various formats, including the web-friendly Web3D format for interactive 3D online view, animation, serial sectional slices, etc.;
• Functionality of the software can be extended by adding plug-in modules to perform virtually unlimited 3D modelling. A set of C++ programming API is included for user convenience.
The DcmLite can be downloaded for evaluation. Please feel free to contact us if you would be interested in acquiring a DCM software user licence, R&D collaboration, commercial exploitation, or knowing more about DCM. The DCM website is at http://research.csiro.au/dcm.
Non-destructive quality evaluation of additive-manufactured components - Data-constrained modelling - Published 10 May 2018
These Materials contain the results of all simulations performed for study accepted for publication:
Gerke K.M., Karsanina M.V., Vasilyev R.V., Mallants D., 2014. Improving pattern reconstruction usin... moreg correlation functions computed in directions. Europhysics Letters (http://iopscience.iop.org/0295-5075).
Short abstract: In this Letter we introduce a new method to calculate correlation functions in four principal directions (i.e. two orthogonal and two diagonal) and separately utilize them for image reconstruction. We show this method is particularly suitable for anisotropic porous media but also improves image reconstruction for isotropic structures. Based on analysis of numerous reconstructions of four binary patterns using different sets of two-point probability and linear (for both phases) correlation functions, we quantify the accuracy of each set. Averaging of correlation functions in all directions almost always results in poorer reconstructions. Addition of separate directions significantly improves the quality of replicas with only a minor increase in computational effort.less
CLSD-Prog 3-Post Doc-CLW-K. Gerke-GER07F - Post-doc research - Published 15 May 2014