Comparative analysis of pore structure parameters of coal by using low pressure argon and nitrogen adsorption

吸附 大孔隙 解吸 化学 体积热力学 分形维数 多孔性 分析化学(期刊) 热力学 介孔材料 矿物学 材料科学 色谱法 分形 数学 物理化学 有机化学 物理 数学分析 催化作用
作者
Zhenyang Wang,Yuanping Cheng,Gang Wang,Guanhua Ni,Liang Wang
出处
期刊:Fuel [Elsevier]
卷期号:309: 122120-122120 被引量:74
标识
DOI:10.1016/j.fuel.2021.122120
摘要

The accurate characterization of coal pore structure is of great significance for in-depth understanding of interior properties and gas adsorption, desorption and diffusion characteristics. In this study, the low pressure argon adsorption (LP-ArGA) and low pressure nitrogen adsorption (LP-N2GA) were all used to analyze the pore parameters of coal with different metamorphism. The results indicated that the adsorption isotherm type and desorption hysteresis type of coal samples obtained by the LP-ArGA and LP-N2GA belong to the same type, but the adsorption capacity of the former is higher than that of the latter. The pore size distribution (PSD) of coal samples shows a significant multi-peak distribution feature. Compared with the LP-N2GA, the LP-ArGA can accurately analyze the pore parameters between 2 and 4 nm or part of 2–7 nm. The mesopore volumes obtained by the LP-ArGA is 1.66–2.84 times that of the LP-N2GA, and there is no obvious law of macropore volume. The macropore volumes of QN and PM samples decreased by 17.2% and 50.9%, respectively, while GHS sample increased by 166.0%. The corresponding specific surface area (SSA) showed the same properties. Fractal curve fitting results obtained by the two methods are highly correlated, but compared with LP-ArGA, D1 and D2 obtained by the LP-N2GA can well reflect pore characteristics. The fractal dimension obtained by the two methods and the variation trend with the metamorphic degree are all different, which is mainly due to the difference of adsorption volume. The purpose of this paper is to introduce a new method for the analysis of coal pore structure in order to better understand the pore characteristics.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
贪学傲菡完成签到,获得积分10
刚刚
孙姣姣完成签到,获得积分10
刚刚
温柔珊完成签到,获得积分10
刚刚
1秒前
1秒前
2秒前
2秒前
5秒前
八佰应助mbf采纳,获得10
5秒前
斯文傲芙发布了新的文献求助10
5秒前
安静的难破完成签到,获得积分10
6秒前
6秒前
赵丽红完成签到 ,获得积分10
7秒前
Orange应助柠檬精采纳,获得10
7秒前
7秒前
CHINA_C13完成签到,获得积分10
9秒前
ppmt完成签到 ,获得积分20
10秒前
codwest完成签到,获得积分10
10秒前
风起青禾发布了新的文献求助10
11秒前
犹豫的铸海完成签到,获得积分10
13秒前
科研通AI2S应助斯文傲芙采纳,获得10
14秒前
我去打球完成签到 ,获得积分10
14秒前
15秒前
搜集达人应助我醉不须辞采纳,获得10
15秒前
16秒前
小巧日记本完成签到,获得积分10
17秒前
17秒前
不知道完成签到,获得积分10
21秒前
李昆朋发布了新的文献求助10
21秒前
21秒前
zzzz关注了科研通微信公众号
22秒前
朵拉A梦完成签到,获得积分10
22秒前
Liang发布了新的文献求助10
22秒前
24秒前
可乐加冰完成签到 ,获得积分10
24秒前
KingLancet完成签到,获得积分10
25秒前
27秒前
27秒前
27秒前
KingLancet发布了新的文献求助10
29秒前
高分求助中
Solution Manual for Strategic Compensation A Human Resource Management Approach 1200
Natural History of Mantodea 螳螂的自然史 1000
Glucuronolactone Market Outlook Report: Industry Size, Competition, Trends and Growth Opportunities by Region, YoY Forecasts from 2024 to 2031 800
A Photographic Guide to Mantis of China 常见螳螂野外识别手册 800
Zeitschrift für Orient-Archäologie 500
Autoregulatory progressive resistance exercise: linear versus a velocity-based flexible model 500
The Politics of Electricity Regulation 300
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 细胞生物学 免疫学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3340131
求助须知:如何正确求助?哪些是违规求助? 2968149
关于积分的说明 8632507
捐赠科研通 2647706
什么是DOI,文献DOI怎么找? 1449774
科研通“疑难数据库(出版商)”最低求助积分说明 671539
邀请新用户注册赠送积分活动 660517