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Statistical characterization of microcellular polyurethane foams microstructure based on 2D and 3D image analysis.
- Source :
-
Journal of Cellular Plastics . Sep-Nov2023, Vol. 59 Issue 5/6, p395-417. 23p. - Publication Year :
- 2023
-
Abstract
- This paper presents protocols developed to quantitatively characterize the cellular microstructure of microcellular polyurethane foams, from scanning electron microscopy (2D) and X-ray micro-computed tomography (2D and 3D) data. The objectives are to provide, for both techniques: (i) a detailed description of the analysis steps based on open source Python algorithms; (ii) a method for automatic, robust and objective detection of the cells to limit user's biases; (iii) a statistical description of fraction, size, shape and spatial distribution of cells. The study considers 12 samples with densities ranging from about 400 to 600 kg m−3 and pore sizes from a few micrometers to several hundred micrometers. In addition, the database obtained is used to investigate the reliability of 2D measurements to describe the cellular microstructure statistics. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 0021955X
- Volume :
- 59
- Issue :
- 5/6
- Database :
- Academic Search Index
- Journal :
- Journal of Cellular Plastics
- Publication Type :
- Academic Journal
- Accession number :
- 174039372
- Full Text :
- https://doi.org/10.1177/0021955X231215773