Statistical characterization of microcellular polyurethane foams microstructure based on 2D and 3D image analysis

被引：5
|
作者：
Le Saux, Matthieu [1 ,5 ]
Le Bail, Jean-Baptiste [1 ,2 ]
Becker, Justin [1 ,2 ]
Caer, Celia [1 ]
Charrier, Pierre [2 ]
Le Saux, Vincent [1 ]
Maheo, Laurent [3 ,4 ]
Marco, Yann [1 ]
机构：
[1] ENSTA Bretagne, Brest, France
[2] Vibracoust, ESM Dept, Carquefou, France
[3] Univ Bretagne Sud, Bretagne, France
[4] Ecoles St Cyr Coetquidan, Guer, France
[5] ENSTA Bretagne, UMR CNRS 6027, IRDL, F-29200 Brest, France
来源：
JOURNAL OF CELLULAR PLASTICS | 2023年 / 59卷 / 5-6期
关键词：
Microcellular polyurethane elastomeric foam; cellular microstructure; scanning electron microscopy; x-ray micro-computed tomography; image processing; statistical analysis; SIZE DISTRIBUTIONS; PARTICLE-SIZE; ALGORITHMS; SHAPE;
D O I：
10.1177/0021955X231215773
中图分类号：
O69 [应用化学];
学科分类号：
081704 ;
摘要：
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.
引用
收藏
页码：395 / 417
页数：23
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