Evaluation and quantification of wood 3D pore structure via X-CT technology.
Evaluation and quantification of wood 3D pore structure via X-CT technology.
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DOI：
10.16270/j.cnki.slgc.2021.05.011
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发表时间：
2021-01-01
期刊：
影响因子：
--
通讯作者：
Zhao, Jing-yao
中科院分区：
文献类型：
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作者：
Geng, Hui-quan;Jin, Hun;Zhao, Jing-yao
木材的微观孔隙结构是影响其宏观水分迁移、传热和力学性能的重要因素。为了定量表征孔隙结构对上述物性参数的影响，首先要获得准确的孔隙结构参数信息。然而，传统的孔隙结构检测方法在三维孔隙结构评价和参数的精确定量分析方面略显不足。本文采用X-CT（X-ray computed tomography）技术重建木材的三维孔隙结构，并在此基础上利用数字图像处理技术对孔隙结构参数进行量化，以期为木材三维孔隙结构的检测和定量分析提供一种新的途径。本研究以落叶松和橡树为研究对象，对其进行X-CT检测，并在Avizo软件中对扫描结果（二维多层图形）进行三维体绘制（3D立体图像）。在此基础上，采用图像切割、噪声滤波、阈值分割、标记等数字图像处理方法，对储层三维孔隙结构特征进行了识别。定量计算了孔隙率（体积/表面积）、孔面积和孔体积、孔径分布和连通性。结果表明，在3 mm立方松样品中，孔径范围为9.65-79.51 μ m，平均孔径为26.03 μ m，孔体积为1.58 × 1010 mum 3，孔面积为1.65 × 109 mum 2，体积孔隙率为58.46%，表面孔隙率范围为56.61%-59.64%。轴向连通孔的面积比和体积比分别为78.5%和80.3%。在相同尺寸的橡木样品中，孔径范围为11.01-319.68 μ m，平均孔径为51.24 μ m，孔体积为1.01 × 1010 μ m3，孔面积为1.12 × 109 μ m2，体积孔隙率为37.57%，表面孔隙率范围为36.05%-39.07%。轴向连通孔的面积比和体积比分别为74.4%和67.3%。本研究基于X-CT技术对木材孔隙结构进行了定性和定量表征，可为木材孔隙结构的重建以及导热、渗流、扩散等模拟提供数据支持，为木材微观孔隙的研究提供了新的思路。
The micro pore structure of wood is an important factor affecting its macro water migration, heat transfer and mechanical properties. In order to quantitatively characterize the influence of pore structure on the above physical parameters, the first task is to obtain accurate pore structure parameter information. However, traditional pore structure detection methods are slightly inadequate in terms of three-dimensional pore structure evaluation and accurate quantitative analysis of parameters. In this paper, X-CT (X-ray computed tomography) technology was used to reconstruct the three-dimensional pore structure of wood, and on this basis, the pore structure parameters were quantified with digital image processing technology, in order to provide a new way for the detection and quantitative analysis of three-dimensional pore structure of wood. This study took larch and oak as the research objects, carried out X-CT detection on them, and performed 3D volume rendering (3D stereo images) on the scan results (two-dimensional multi-layered graphics) in Avizo software. On this basis, digital image processing methods such as image cutting, noise filtering, threshold segmentation and marker were used to identify the 3D pore structure characteristics. Porosity (volume /surface), pore area and pore volume, pore size distribution and connectivity were quantitative calculated. The results showed that in the 3 mm cubic pine sample, the pore size range was 9.65-79.51 mum, the average pore size was 26.03 mum, the pore volume was 1.58 x 1010mum3, the pore area was 1.65 x 109 mum2, the volume porosity was 58.46%, and the surface porosity range was 56.61%-59.64%. The area and volume ratios of axial interconnected pore were about 78.5% and 80.3%. In the same size oak samples, the pore size range was 11.01-319.68 mum, the average pore size was 51.24 mum, the pore volume was 1.01 x 1010 mum3, the pore area was 1.12 x 109 mum2, the volume porosity was 37.57%, the surface porosity range was 36.05%-39.07%. The area and volume ratios of axial interconnected pore were about 74.4% and 67.3%. This study qualitatively and quantitatively characterized the wood pore structure based on X-CT technology, which can provide data support for the reconstruction of pore structure of wood and the simulation of thermal conductivity, seepage and diffusion, and provide a new idea for the study of microscopic pores of wood.