Advanced visualization and analysis

Avizo Software for ceramics, glasses and porous media

Characterization of porous material depends on the size, distribution, and shape of pores and possibly the channels connecting them. For other materials, such as ceramic or glass, understanding the distribution of the different particle types is of upmost importance for estimating performance of the material. Porosity, tortuosity and permeability are some of the important parameters that help characterize the material.

With Avizo Software unmatched capabilities get cleaner, stronger and safer materials.

Join the e-community Contact us  Request free trial


Avizo Software is the solution of choice

Avizo Software provides an advanced workflow for pore network characterization and particles analysis,  including  quantification of pores or particles in the material, their volume distribution, shape and distance, as well as computation of material physical properties such as porosity, tortuosity or permeability.


Applications and Use cases
Glass fiber length and orientation analysis of reinforced polymers (GFRP)

Royal DSM is a global science-based company active in health, nutrition and materials. Within DSM’s Materials Cluster DSM Engineering Plastics is a global player in specialty plastics. These materials are used in components for the electrical and electronics, automotive, flexible food packaging and consumer goods industries.

Read more

The aim of this paper was to develop a model that can characterize the actual micropore structures in coal and gain an in-depth insight into water’s seepage rules in coal pores under different pressure gradients from a microscopic perspective. To achieve this goal, long-flame coals were first scanned by an X-ray 3D microscope; then, through a representative elementary volume (REV) analysis, the optimal side length was determined to be 60 μm; subsequently, by using Avizo software, the coal micropore structures were acquired.

Read more

Simulation Analysis on Water’s Micro Seepage Laws under Different Pressure Gradients Using Computed Tomography Method