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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 28 Sep 2020
This data set is an interactive Web3D online visualization and collection of micro-CT data DCM generated 3D compositional microstructural data for an ancient pig mandible and teeth sample which are co... moremprised with void, light-minerals, heavy-minerals.
Strategic - Design, Surface & Functionality 2019/20 - - Published 06 Aug 2020
This data set is a collection of multi-energy X-ray CT data and DCM generated 3D compositional microstructural data and 3D pore-organic clusters data for three Sichuan Basin Longmaxi shale samples. Th... moree compositions are comprised of pore-organics, heavy minerals and light minerals.less
Strategic - Design, Surface & Functionality 2019/20 - Data-constrained modelling (DCM) - Published 04 Aug 2020
DCM (data-constrained modelling) 3D visualizations of representative lack-of-fusion with spatter particles (LOF-SPs) for low (ρ = 98.3%), medium (ρ = 99.1%), and high (ρ = 99.7%) density samples usin... moreg the DCM non-linear optimization approach which treats each voxel as having a fraction of all material components of the system. The fractional amounts were consistent with X-ray CT derived linear attenuation coefficients which were optimized voxel by voxel based on the Boltzmann statistical distribution.less
Strategic - Design, Surface & Functionality 2019/20 - - Published 03 Aug 2020
A synchrotron X-ray computed tomography (X-ray CT) combined with a data-constrained modelling (DCM) approach was employed to investigate the properties and evolution of pore networks of chalcopyrite-d... moreominant agglomerates during leaching. The 3D visualization images from the above DCM analysis were generated and included in this data set.less
Redox reaction at sulfide mineral surfaces - - Published 07 Jul 2020
DCM analysis of a re-constructed synchrotron X-CT image from “leach cup” C (10 g/L [H2SO4], 2 g/L [Fe3+]) of a fresh ore particle before leaching showing a) sulfide phases (blue), b) non-sulfide gangu... moree phases (red), c) void phases (green) and d) combined reconstruction phases. The DCM analysis was conducted on a representative grid (200 x 200 x 100 voxel)less
Sustainability - Fellows Students Visitors Appntd frm 1/07/16 - - Published 08 May 2020
Online Web3D display for Pore scale analysis of transport properties of deformation bands combining nano-scale imaging and numerical simulations.
Evolution of petrophysical and geochemical properties of organic shales with thermal maturation - - Published 11 Dec 2019
The dissolution of low-grade metal sulphides in chloride media was studied by synchrotron-based micro-CT and quantitatively analyzed by using a data-constrained modeling (DCM) approach. The 3D visuali... morezation images from the above DCM analysis were generated and included in this data set.less
OCE postdoc Resource recovery_uranium - Mineral processing - Published 16 Apr 2019
This is a demonstration for generating 3D online Visualisation of molecular structure using DCM plugins. A selection of the molecules, including calcium chloride (CaCl2), bromine trifluoride (BrF3), g... moreermane (GeH4), antimony pentachloride (SbCl5) and tellurium hexafluoride (TeF6), are included as examples.less
Non-destructive quality evaluation of additive-manufactured components - Data-constrained modelling - Published 21 Mar 2018
DCM plugin for generating hydrogen atom wave functions and electron probability densities for interactive visualization using a web browser.
CSS-TCP - Data Constrained Mater - Data-constrained modelling (DCM) - Published 23 Feb 2018
This is a DCM plug-in for computation of electric conductivity and permittivity of a material sample from its microstructure as defined by the composition channels. The void can take non-vacuum parame... moreters to simulate cases where the voids are filled with a fluid. The submission is updated on 01/09/2015.less
CSS-TCP - Data Constrained Mater - Data-constrained modelling (DCM) - Published 17 Oct 2017
This is a tutorial demonstration of a DCM plug-in for drawing 3D geometrical shapes, and embedding them in a HTML document.
To view this document, the Google Chrome browser is recommended on the MS-Wi... morendows system.
The native Safari browser on an iOS device or the native browser on an Android device should also be fine.less
Non-destructive quality evaluation of additive-manufactured components - Data-constrained modelling - Published 01 Sep 2017
A conical-shaped pin of cold sprayed titanium was prepared using a CGT Kinetiks 4000 system. After a synchrotron X-ray micro-CT scan the titanium pin was heat treated at 850 degree C for 4 hours. The ... moresecond micro-CT scan was performed. Both X-ray CT data were analysed using DCM for their 3D porosity distributions. less
Non-destructive quality evaluation of additive-manufactured components - Data-constrained modelling - Published 10 Aug 2017
The data collection is for six saturated fine grained soil samples. They were prepared at six different vertical pressures at 0kPa, 100kPa, 200kPa, 400kPa, 800kPa and 1600kPa. The soil samples were ob... moretained from dredger mud in Daya Bay construction field. The dataset include X-ray CT data, DCM analysed compositional data, and online visualization data.less
Strategic - Materials & Process Modelling (HPMI) - Non-destructive evaluation of materials in 3D - Published 21 Mar 2017
Three sub-samples were collected at different locations of a shale slab from the Junger Basin, north western China, and were referred to as S1 and S4′. The shale is composed primarily of calcite, sodi... moreum feldspar, potash feldspar and dolomite. The mineral can be grouped as the following: calcite, sodium feldspar and potash feldspar (group as feldspar), and dolomite. For CT scan experiments, the samples S1 and S4′ were cut into a small cylinder with the diameters of 0.8 mm and 3 mm, respectively. less
CSS-TCP - Data Constrained Mater - Data-constrained modelling (DCM) - Published 28 Jul 2016
This data set is a collection of multi-energy X-ray CT data and DCM generated 3D compositional microstructural data for an anthracite coal sample which are comprised with void, coal matrix, minerals.
CSS-TCP - Data Constrained Mater - Data-constrained modelling (DCM) - Published 27 Jul 2016
This data set is a sub-set of “Carbonate rock X-ray CT and DCM microstructure data” at http://dx.doi.org/10.4225/08/5476787E08766, for new users of the DCM software (http://research.csiro.au/dcm and h... morettps://data.csiro.au/dap/landingpage?pid=csiro:9448) as a tutorial training data. less
CSS-TCP - Data Constrained Mater - Data-constrained modelling (DCM) - Published 26 Jul 2016
This data set uses a sub-set of “CIPS sandstone microstructure” at http://dx.doi.org/10.4225/08/5476787A1A50F, for new users of the DCM software (https://data.csiro.au/dap/landingpage?pid=csiro:9448) ... moreas a tutorial training data set. less
3D online images for the paper: Sulfide-silicate textures in magmatic Ni-Cu-PGE sulfide ore deposits. 1. Disseminated and net-textured ores.
by Stephen J. Barnes, James E. Mungall, Margaux Le Vaillant... more, Belinda Godel, C. Michael Lesher, David Holwell, Peter C. Lightfoot, Nadya Krivolutskaya, Bo Wei
OCE Science Leader - Stephen Barnes - Magmatic sulfide ore petrology - Published 30 May 2016
X3D online visualization of silicates and sulphides microstructure for the paper entitled: "3D textural evidence for the formation of ultra-high tenor precious metal bearing sulfide microdroplets in o... moreffset reefs: An extreme example from the Platinova Reef, Skaergaard Intrusion, Greenland".less
OCE Science Leader - Stephen Barnes - Magmatic sulfide ore petrology - Published 19 Apr 2016
The plugin is an implementation of the partially percolating lattice Boltzmann model (PP-LBM) with locally varying voxel effective percolating fraction for single-phase flow.
It has been used to simu... morelate flow and determine permeability of two real-world rock samples as published by Li et al (2014) in PHYSICAL REVIEW E 90, 033301 (2014);Journal of Shanxi University(Nat.Sci.Ed.) 38(2):289-297,2015;10th International Conference on CFD in Oil & Gas, Metallurgical and Process Industries,SINTEF, Trondheim, Norway,17-19 June 2014.
The effective percolating fractions of voxels were estimated using the DCM software (Yang et al, CSIRO Data-Access Portal - https://data.csiro.au/dap/landingpage?pid=csiro:9448) generated volume fractions. More information about DCM is available at http://research.csiro.au/dcm/ and https://en.wikipedia.org/wiki/Data_constrained_modelling.
- The plugin requires voxel-based percolation fraction, plus other parameters as the following:
+ Effective percolation fraction channel index
+ Fluid speed channel index
+ Maximum iterations for computation
+ Display interval
+ Voxel physical size in microns
- The plugin can estimate the effective percolation fraction using void and calcite volume fractions as detailed in above quoted papers. The input parameters are the following:
+ Void volume fraction channel index
+ Calcite volume fractions channel index
+ Fluid speed channel index
+ Maximum iterations for computation
+ Display interval
+ Volume fraction of Calcite
+ Voxel physical size in microns
CSS-TCP - Data Constrained Mater - Data-constrained modelling (DCM) - Published 01 Oct 2015
This data set is a collection of multi-energy X-ray CT data, Xe gas K-edge subtracted images, and DCM generated 3D compositional microstructural data for a carbonate rock containing calcite and dolomi... morete. A DCM software is required to open some the data files with a “.dcm” file extension. A light version of the DCM software is available at https://data.csiro.au/dap/landingpage?pid=csiro:9448. The updated computational results using DCM 184.108.40.2068 are included in August 2015. less
CSS-TCP - Data Constrained Mater - Data-constrained modelling (DCM) - Published 04 Sep 2015
Collection of CIPS (Calcite In situ Preciptation System) core sandstone data include CT projection images at 35keV and 45keV, CT reconstructured slices, and DCM reconstructured pore and mineral phases... more distributions in 3D. Additional information and data, such as .dcm data files, SEM and optical images, EXCEL spreadsheet, animations, are also included.
The CT slices have been aligned, corrected for inconsistency, and re-scaled according to the known phases, such as pores and quartz.less
Data Constrained Materials C2011/6428 - Data-constrained modelling (DCM) - Published 27 Nov 2014
Collection of tight sandstone data include CT projection images at 25keV, 35keV and 45keV, CT reconstructed slices, and DCM reconstructed pore and mineral phases distributions in 3D. Additional inform... moreation and data, such as .dcm data files and animations, are also included. The natural tight sandstone sample used for experiment with diameter and height of 3mm and 20mm was extracted from a core. The core was drilled from Yaodian area of Yan’an in Erdors Basin, where the geographic structure and layer are belong to the eastern area of Shanbei Slope of Member 6 in Yanchang Formation of Triassic in Erdors Basin.less
Data Constrained Materials C2011/6428 - Data-constrained modelling (DCM) - Published 21 Mar 2014
The data is related to a sample from a Triassic shale oil reservoir, the fifth member of the Xujiahe Formation from the Sichuan Basin in southern China. The data set include the following:
X-ray proje... morection images, plus flate-field and dark-field images
Reconstructed CT slices
DCM characterized and threshold segmentated composition and porosity imagesless
Data Constrained Materials C2011/6428 - Data-constrained modelling (DCM) - Published 14 Oct 2013