Abstract:To a large extent

the structure of pore space determines its macroscopic properties

therefore

it is significant to analysis and research the structure of pore space. However

its description of structure and performance has always been focus and difficulty using traditional methods. To investigate effective

accurate and objective characterization methods of pore space structure

in this work

the two-dimensional (2D) sequence images of porous material were obtained from MicroCT. Level set method based on Chan-Vese (C-V) model for segmentation was introduced to capture

reproduce and visualize the exact three-dimensional (3D) structure of porous material. Then a set of geometric parameters

such as pore volume

pore surface area

average pore diameter

porosity and connectivity based on 3D data were measured by using image analysis techniques. The 3D pore parameters obtained in this work have been proved objective and accurate to quantitatively describe the structure of pore of porous materials. Further more

it has provided a new research method to characterize pore structure of porous materials.