Quantification of Pore Size and Shape Distributions in Intumescent Coating Chars Using Image Processing and Pore-Identification Algorithms: Effects of Heating Rate

IF 2 4区 材料科学 Q3 MATERIALS SCIENCE, MULTIDISCIPLINARY
Ander Labaien Etxeberria, Jochen A. H. Dreyer, James Robson, Søren Kiil
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Abstract

This study investigates the effect of heating rate on intumescent coating char formation with regard to pore morphology. The morphology was extracted from cross-sectional images of char samples embedded in an epoxy resin, followed by image processing and a pore-identification algorithm. We highlight the necessity of establishing a clear definition of what constitutes a pore unit, especially when delineating the boundaries of interconnected pores. Depending on the employed pore-identification algorithm, the calculated average pore size and shape vary substantially. A refined approach was developed to identify and measure the morphology of these materials. Adopting this methodology facilitated a meaningful mapping of the pore dimensions in intumescent chars while also capturing small details. Elliptical pore regions were identified realistically, avoiding their oversegmentation into excessively small subpores. Results show stratified and heterogeneous structures with the largest pores predominantly in layers close to the heat source (top layer). Decreasing the heating rate led to larger pore sizes in the top char layer, whereas the smaller pores close to the steel substrate further decreased in size. Additionally, a pore shape analysis revealed a predominantly elliptical morphology, underscoring the practicality of our approach for accurately assessing pore characteristics in intumescent coatings. Overall, this study proposes a cost-effective and reliable method for pore morphology analysis, offering deep insights into intumescent coating char behavior.

Abstract Image

利用图像处理和孔隙识别算法量化膨胀涂层炭的孔隙大小和形状分布:加热速率的影响
本文研究了加热速率对膨胀型涂层炭的孔隙形态的影响。利用环氧树脂包埋炭样的横截面图像提取形貌,然后进行图像处理和孔隙识别算法。我们强调有必要对什么构成孔隙单元建立一个明确的定义,特别是在描绘相互连接的孔隙的边界时。根据所采用的孔隙识别算法的不同,计算出的平均孔隙大小和孔隙形状差异很大。开发了一种改进的方法来识别和测量这些材料的形态。采用这种方法有助于对膨胀体的孔隙尺寸进行有意义的映射,同时也可以捕获小细节。椭圆孔区识别较为真实,避免了过分割成过小的亚孔。结果表明:层状和非均质结构,最大孔隙主要分布在靠近热源的层(顶层);随着升温速率的降低,顶部炭层孔隙尺寸增大,而靠近钢基体的较小孔隙尺寸进一步减小。此外,孔隙形态分析显示主要为椭圆形态,强调了我们的方法在准确评估膨胀涂层孔隙特征方面的实用性。总的来说,本研究提出了一种经济可靠的孔隙形态分析方法,为研究膨胀涂层的炭化行为提供了深入的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Fire and Materials
Fire and Materials 工程技术-材料科学:综合
CiteScore
4.60
自引率
5.30%
发文量
72
审稿时长
3 months
期刊介绍: Fire and Materials is an international journal for scientific and technological communications directed at the fire properties of materials and the products into which they are made. This covers all aspects of the polymer field and the end uses where polymers find application; the important developments in the fields of natural products - wood and cellulosics; non-polymeric materials - metals and ceramics; as well as the chemistry and industrial applications of fire retardant chemicals. Contributions will be particularly welcomed on heat release; properties of combustion products - smoke opacity, toxicity and corrosivity; modelling and testing.
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