In materials research and development (R&D), pore size distribution is a key metric that represents a variety of key performance properties.
The distribution of pores within a solid body is unique in that it indicates structural complexity in much greater detail, though it is intrinsically linked to overall porosity and total pore size.
The majority of bulk solids possess some empty spaces (cavities, voids, apertures, etc.) and these are often clear in an interconnected network.
Researchers only consider an accessible, contiguous open space within the sample when measuring pore size distribution and other crucial porosity metrics.
Isolated pockets within solids (i.e., vesicles) are not considered part of the porous structure for this reason. There are two key reasons why this distinction is crucial:
- Most methods of measuring porosity involve fluidic intrusion
- The accessibility of porous structures is fundamental to their functionality/performance
Image Credit: MIPAR Image Analysis
Tomography: Measuring Pore Size Distribution
For measuring pore size distribution, tomographic imaging is recommended as it uses a true visualization of the internal pore network in a cross-sectional plane.
X-rays pass through the sample and produce a picture of the amount of liquid or gas present in the solid at microscale levels of resolution.
Without relying on arbitrary definitions or tenuous calculations, this technique generates the most accurate insights into the structural empty space within solid samples. MIPAR specializes in fully-automated image analysis software, which is designed to help the user to map and measure samples with complete certainty.
An intuitive solution for fast and reliable data acquisition can be used if you are employing X-ray tomography to probe the empty spaces in industrial powders, catalysts, soil samples, or any other materials of interest.
Utilize the unprecedented image analysis engine from MIPAR to directly visualize and measure the open and closed porous networks of samples confidently.
This information has been sourced, reviewed and adapted from materials provided by MIPAR Image Analysis.
For more information on this source, please visit MIPAR Image Analysis.