poresim.org

PoreSim

Technical library, data repository, software downloads, and more. Granular materials, consolidated materials,. Packed beds, and high-porosity materials. Computer-generated, physically representative structures. Partnerships for high-resolution 3D imaging. Physically representative networks from real and computer-generated materials. Quantitative analysis of pore-scale morphology. Quantitative modeling of transport phenomena. CFD, analytic, and stochastic techniques for modeling at the sub-pore scale.

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Karsten Thompson

Karsten Thompson

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Bato●●●●ouge , LA, 70803

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Karsten Thompson

Karsten Thompson

Dept. Chem●●●●●●●●●●ering, LSU

Bato●●●●ouge , LA, 70803

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ka●●●●●@lsu.edu

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PoreSim | poresim.org Reviews

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Technical library, data repository, software downloads, and more. Granular materials, consolidated materials,. Packed beds, and high-porosity materials. Computer-generated, physically representative structures. Partnerships for high-resolution 3D imaging. Physically representative networks from real and computer-generated materials. Quantitative analysis of pore-scale morphology. Quantitative modeling of transport phenomena. CFD, analytic, and stochastic techniques for modeling at the sub-pore scale.

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PoreSim | poresim.org Reviews

https://poresim.org

Technical library, data repository, software downloads, and more. Granular materials, consolidated materials,. Packed beds, and high-porosity materials. Computer-generated, physically representative structures. Partnerships for high-resolution 3D imaging. Physically representative networks from real and computer-generated materials. Quantitative analysis of pore-scale morphology. Quantitative modeling of transport phenomena. CFD, analytic, and stochastic techniques for modeling at the sub-pore scale.

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poresim.org

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PoreSim - Porous Materials

http://www.poresim.org/NGT/ngt.htm

Voxel Images (Granular Materials). The past fifteen years have produced rapid advances in network modeling, most notably the replacement of previous-generation stick-and-ball networks with physically representative models of real materials. Unfortunately, technology to generate these networks has lagged behind the advances for flow modeling, which has slowed the use of network modeling techniques in practical engineering problems. Cain Department of Chemical Engineering. Baton Rouge, LA 70803.

2

PoreSim - Porous Materials

http://www.poresim.org/IMG/img.htm

Three-dimensional imaging techniques such as x-ray computed tomography and laser confocal microscopy have become important tools in porous-materials research. These techniques provide quantitative, three-dimensional maps of pore, structure, solid-phase structure, and in some cases, fluid-phase distributions. Depending on the technique used, image resolutions of 200 nm and below are possible. The terminology image-based modeling. Cain Department of Chemical Engineering. Baton Rouge, LA 70803.

3

PoreSim - Porous Materials

http://www.poresim.org/CHR/chr.htm

Phase and Interface Behavior. The development of effective characterization techniques is crucial for fundamental studies and for improving analytic tools. In particular, pore-scale and particle-scale characterization is at the heart of establishing links between microscale structure and bulk properties in granular and porous materials. Cain Department of Chemical Engineering. Baton Rouge, LA 70803.

4

PoreSim - Porous Materials

http://www.poresim.org/Information/Software/software.htm

5

PoreSim - Porous Materials

http://www.poresim.org/Information/Overview/overview.htm

The PoreSim Research Consortium is a group of industry sponsors and research partners interested in multi-scale modeling of porous materials. The consortium, which is based at Louisiana State University, brings together a unique combination of applications, ideas, expertise, and tools. To help advance basic science and computational modeling techniques for a variety of porous materials. To apply new imaging and modeling techniques to engineering and scientific problems. The consortium provides an effecti...

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PoreSim - Porous Materials

http://www.poresim.com/NWM/nwm.htm

Single-Phase Flow and Permeability. Solute and Particle Transport. The image shows a small section of sandstone and its associated network (a one-to-one mapping of the pore space). Networks are often depicted visually by a ball-and-stick structure. However, modern networks are described using rigorous geometric parameters, which allows for quantitative modeling of many important phenomena. Cain Department of Chemical Engineering. Baton Rouge, LA 70803.

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PoreSim

Technical library, data repository, software downloads, and more. Granular materials, consolidated materials,. Packed beds, and high-porosity materials. Computer-generated, physically representative structures. Partnerships for high-resolution 3D imaging. Physically representative networks from real and computer-generated materials. Quantitative analysis of pore-scale morphology. Quantitative modeling of transport phenomena. CFD, analytic, and stochastic techniques for modeling at the sub-pore scale.

poresim.org

PoreSim

Technical library, data repository, software downloads, and more. Granular materials, consolidated materials,. Packed beds, and high-porosity materials. Computer-generated, physically representative structures. Partnerships for high-resolution 3D imaging. Physically representative networks from real and computer-generated materials. Quantitative analysis of pore-scale morphology. Quantitative modeling of transport phenomena. CFD, analytic, and stochastic techniques for modeling at the sub-pore scale.

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