Structure characterisation of catalytic particulate filters for automotive exhaust gas aftertreatment

材料科学 多孔性 水银孔隙仪 涂层 过滤(数学) 催化燃烧 曲折 滤波器(信号处理) 复合材料 化学工程 催化作用 多孔介质 化学 计算机科学 工程类 生物化学 统计 数学 计算机视觉
作者
Marek Václavík,Marie Plachá,Petr Kočí,Miloš Svoboda,Thomas Hotchkiss,Vladimír Novák,David Thompsett
出处
期刊:Materials Characterization [Elsevier]
卷期号:134: 311-318 被引量:28
标识
DOI:10.1016/j.matchar.2017.11.011
摘要

Modern automobiles with internal combustion engine are equipped with several different converters of exhaust gas and a particulate filter. The size and cost of exhaust aftertreatment system can be reduced by coating the catalytically active material on or into the porous filter walls. The characterisation of filter morphology including the distribution of catalytic material inside the filter wall is a key prerequisite for the development of porous structures with optimum performance with respect to pressure loss, filtration efficiency and catalytic activity. Three SiC filter samples with different amount of SCR catalyst were characterised by X-ray tomography (XRT), scanning electron microscopy (SEM) and mercury intrusion porosimetry (MIP). Combination of the techniques provides detailed and consistent information on filter and coating hierarchical pore structure. The segmented XRT image revealed 3D distribution of catalytic material and larger macropores inside filter wall. The 3D XRT images were further used as the input for mathematical models evaluating porosity, pore size distribution (PSD), effective diffusivity and tortuosity. Maximum sphere inscription method applied to XRT data gave PSD shifted to larger pore sizes in comparison with the MIP results, in line with the bottleneck limitation of MIP. On the other hand, MIP was able to determine also smaller internal pores in the catalyst layer. Pressure loss of the filters measured in lab reactor increased non-linearly with the amount of catalytic coating. The PSD and XRT suggest that a large number of substrate pores is filled up completely by catalytic material.

科研通智能强力驱动
Strongly Powered by AbleSci AI
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
动听健柏发布了新的文献求助10
刚刚
严小之完成签到,获得积分10
刚刚
crispy发布了新的文献求助10
1秒前
蓝海湾发布了新的文献求助10
1秒前
背后思卉应助呃呃采纳,获得10
1秒前
hdrizen发布了新的文献求助10
1秒前
yy完成签到,获得积分10
1秒前
Justinwu发布了新的文献求助10
1秒前
骆洋完成签到,获得积分20
1秒前
脑洞疼应助畅快梦山采纳,获得10
2秒前
心心发布了新的文献求助10
2秒前
刘文莉发布了新的文献求助10
2秒前
柒柒发布了新的文献求助30
3秒前
慕青应助Wefaily采纳,获得10
3秒前
无花果应助瞬间de回眸采纳,获得10
3秒前
reap发布了新的文献求助10
3秒前
4秒前
Shan完成签到 ,获得积分10
4秒前
4秒前
李子昂发布了新的文献求助10
4秒前
xingmeng完成签到,获得积分10
4秒前
我是老大应助小鱼采纳,获得10
4秒前
5秒前
5秒前
涛涛完成签到,获得积分10
5秒前
纸片子大王完成签到,获得积分10
5秒前
JamesPei应助骆洋采纳,获得10
5秒前
5秒前
青梧完成签到,获得积分10
5秒前
5秒前
5秒前
6秒前
Khalil发布了新的文献求助10
6秒前
6秒前
笑点低书文完成签到,获得积分20
6秒前
LI完成签到 ,获得积分20
7秒前
情怀应助圣圣采纳,获得10
7秒前
7秒前
7秒前
kidmoriarty完成签到,获得积分10
7秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Aerospace Standards Index - 2026 ASIN2026 3000
Relation between chemical structure and local anesthetic action: tertiary alkylamine derivatives of diphenylhydantoin 1000
Signals, Systems, and Signal Processing 610
Discrete-Time Signals and Systems 610
Principles of town planning : translating concepts to applications 500
Work Engagement and Employee Well-being 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6067685
求助须知:如何正确求助?哪些是违规求助? 7899694
关于积分的说明 16327746
捐赠科研通 5209456
什么是DOI,文献DOI怎么找? 2786534
邀请新用户注册赠送积分活动 1769383
关于科研通互助平台的介绍 1647870