Co-Cu-Mn复合氧化物催化低浓度瓦斯的燃烧性能
Catalytic performance of Co-Cu-Mn composite oxide catalyst for combustion of low concentration gas
朱丽华 1王之钦 1刘培 1徐锋1
作者信息
- 1. 黑龙江科技大学 安全工程学院,哈尔滨 150022
- 折叠
摘要
为了探究钴、铜、锰复合氧化物催化剂催化低浓度瓦斯的燃烧性能,采用共沉淀法制备了不同物质的量比的7 种Co-Cu-Mn三元复合氧化物催化剂,应用固定床微型反应器开展低浓度瓦斯催化燃烧实验,并结合SEM、BET、XRD、H2-TPR、XPS表征评价了不同催化剂的催化活性.结果表明:钴、铜、锰物质的量比对Co-Cu-Mn三元复合催化剂催化活性有较为显著的影响,钴、铜、锰物质的量比为 5:2.5:2.5 的催化剂因孔隙结构更为发育以及具有更高的Co3+、Cu2+和Mn3+离子占比,致使Co、Cu、Mn 3 种元素价态转变过程中形成更多的氧空位,对低浓度瓦斯催化燃烧表现出更好的催化活性;此外,Co-Cu-Mn三元复合氧化物催化剂中的钴为Co3O4 尖晶石晶体结构,锰物种在催化剂制备过程中掺杂到Co3O4 尖晶石晶格中形成了Co-Mn固溶体,铜氧化物以无定型或高分散状态存在于催化剂表面.
Abstract
This paper is intended to investigate the catalytic performance of Co-Cu-Mn composite ox-ide for combustion of low concentration gas.The study consists of preparing seven kinds of Co-Cu-Mn ter-nary composite oxide catalysts with different molar ratios by coprecipitation method;conducting a low concentration gas catalytic combustion test by using a fixed bed microreactor;and characterizing and eval-uating the catalytic activity of different catalysts according to SEM,BET,XRD,H2-TPR and XPS.The results show that the molar ratio of cobalt,copper and manganese has a significant effect on the activity of Co-Cu-Mn ternary composite oxide catalyst.Due to the more developed pore structure and higher Co3+,Cu2+and Mn3+ratio,the catalyst with a molar ratio of cobalt,copper and manganese of 5:2.5:2.5 forms more oxygen vacancies during the valence transition of Co,Cu and Mn,and shows better catalytic activity for low concentration gas combustion.In addition,the cobalt in the Co-Cu-Mn ternary composite oxide catalyst is the crystal structure of Co3O4 spinel;the manganese species is doped into the crystal lat-tice of Co3O4 spinel during the preparation of the catalyst to form Co-Mn solid solution;and the copper oxide exists on the surface of the catalyst in amorphous or highly dispersed state.
关键词
低浓度瓦斯/催化燃烧/复合氧化物/催化剂Key words
low concentration gas/catalytic combustion/composite oxide/catalyst引用本文复制引用
基金项目
黑龙江省自然科学基金项目(LH2022E107)
黑龙江省省属高等学校基本科研业务费项目(2021-KYYWF-1463)
出版年
2024
国家科技期刊平台
NSTL
万方数据