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基于广义范德华模型的多孔吸附与表观孔隙率预测

Prediction of Porous Adsorption and Apparent Porosity Based on the Generalized van der Waals Model.

作者信息

Yang Qian, Wang Chaolin, Shen Mingxuan

机构信息

College of Civil Engineering, Guizhou University, Guiyang 550025, China.

出版信息

ACS Omega. 2025 Jul 18;10(29):31812-31826. doi: 10.1021/acsomega.5c03064. eCollection 2025 Jul 29.

Abstract

This study proposes a novel methodology based on the generalized van der Waals model to systematically investigate the variation patterns of apparent porosity in porous materials. By introducing the concept of attractive regions and incorporating chemical potential equilibrium conditions, we derive expressions for number density within adsorption regions and subsequently calculate apparent porosity. Results indicate that apparent porosity is significantly influenced by pressure, temperature, and material type: in most cases, it decreases with increasing pressure, although it may increase under specific conditions; at the same pressure, materials with lower true porosity demonstrate higher pore utilization efficiency; and increased temperature typically reduces apparent porosity. Based on gas adsorption data obtained from molecular simulations, this paper systematically analyzes variations in apparent porosity under different porosity and temperature conditions, and constructs contour curves of true porosity-pressure-apparent porosity relationships. Research findings demonstrate that in most systems, fitting parameters obtained at the same porosity value can accurately predict adsorption behavior across different temperatures (with goodness-of-fit generally exceeding 0.8); while for systems such as CH-MgO with complex temperature dependencies, despite certain limitations in cross-temperature predictions, temperature-specific fitting approaches effectively establish quantitative relationships between apparent porosity and key variables. This theoretical framework provides robust support for precise prediction of apparent porosity, with significant engineering application value.

摘要

本研究提出了一种基于广义范德华模型的新方法,用于系统地研究多孔材料中表观孔隙率的变化模式。通过引入吸引区域的概念并纳入化学势平衡条件,我们推导出吸附区域内数密度的表达式,进而计算表观孔隙率。结果表明,表观孔隙率受压力、温度和材料类型的显著影响:在大多数情况下,它随压力升高而降低,尽管在特定条件下可能会增加;在相同压力下,真实孔隙率较低的材料显示出更高的孔隙利用效率;温度升高通常会降低表观孔隙率。基于分子模拟获得的气体吸附数据,本文系统地分析了不同孔隙率和温度条件下表观孔隙率的变化,并构建了真实孔隙率 - 压力 - 表观孔隙率关系的等值线图。研究结果表明,在大多数系统中,在相同孔隙率值下获得的拟合参数能够准确预测不同温度下的吸附行为(拟合优度一般超过0.8);而对于像CH - MgO这样具有复杂温度依赖性的系统,尽管跨温度预测存在一定局限性,但特定温度的拟合方法有效地建立了表观孔隙率与关键变量之间的定量关系。这一理论框架为表观孔隙率的精确预测提供了有力支持,具有重要的工程应用价值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5f04/12311654/243ca56b2cce/ao5c03064_0001.jpg

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