Combining mercury intrusion porosimetry and fractal theory to determine the porous characteristics of wood
- PDF / 3,904,850 Bytes
- 16 Pages / 439.37 x 666.142 pts Page_size
- 17 Downloads / 193 Views
Combining mercury intrusion porosimetry and fractal theory to determine the porous characteristics of wood Jingyao Zhao1 · Lin Yang2 · Yingchun Cai1 Received: 18 June 2020 / Accepted: 30 October 2020 © Springer-Verlag GmbH Germany, part of Springer Nature 2020
Abstract The understanding of pore characteristics is the basis for studying the macroscopic physical properties of wood. Herein, mercury intrusion porosimetry (MIP) was analyzed in detail as a function of pressure to analyze wood samples. Additionally, fractal analysis was performed from the MIP derived data to establish the relationship between the fractal dimension and the structural parameters. The results demonstrate that in spite of the large variability of the MIP data from different wood species, the overall trend can be approximated. The aperture size ranged from 2.0 nm to 350 µm with a corresponding porosity ranging from 44.26 to 73.18%. The threshold pressure, average pore radius and pore-to-throat ratio extracted from the MIP data can be used as a valid parameter to evaluate the structural characteristics. The fractal dimension values in the corresponding macropore, mesopore and micropore aperture range intervals are 2.978, 2.827 and 2.438, respectively, which indicate a higher degree of pore complexity for larger pores. Negative correlations are observed between the fractal dimension and porosity with R2 values of 0.85, and in addition, positive correlations are observed between the fractal dimension and the average pore radius and pore-to-throat ratio with corresponding R2 values of 0.66 and 0.52, respectively.
Introduction There is a rapidly growing interest in the analysis of pore structure of wood. Numerical modeling of macroscopic physical properties such as permeability, diffusivity, conductivity and electrical resistivity, needs these structural data as
* Yingchun Cai [email protected] 1
Key Laboratory of Bio‑Based Material Science and Technology (Ministry of Education), Northeast Forestry University, 26 Hexing Road, Harbin 150040, China
2
College of Furnishing and Industrial Design, Nanjing Forestry University, Nanjing 210037, China
13
Vol.:(0123456789)
Wood Science and Technology
input. However, characterizing the pore structure of wood can be very difficult because of the wide pore size range and complex pore system. Currently, the state-of-the-art characterization techniques to analyze porous structures typically include scanning electron microscopy (SEM), X-ray computer tomography (XCT), gas adsorption methods (GAMs) and mercury injection porosimetry (MIP) (Guo et al. 2020; Rajagopal et al. 2019; He et al. 2017, 2020; Li et al. 2017a; Yin et al. 2015; Zauer et al. 2014; Plötze and Niemz 2011). However, all of the aforementioned techniques have limitations in characterizing the porous structure of wood. For example, SEM is a direct observation method that fails to provide quantitative data in three-dimensions (3D). XCT is an expensive technique that typically struggles to recognize pore diameters 10 h and there
Data Loading...
