研究MnO-SiO2-CaO-Al2O3-MgO污泥系统的结构和粘度
Shokouh Haghdani1, Merete Tangstad1, Kristian Etienne Einarsrud1
1Department of Materials Science and Engineering, Norwegian University of Science and Technology (NTNU), 7034 Trondheim, Norway.
Materials (Basel, Switzerland)
|August 10, 2024
概括
这项研究揭示了使用拉曼光谱学的渣成分如何影响其结构和粘度. 这些发现有助于通过了解渣聚合和脱聚合效应来优化工业流程.
科学领域:
- 材料科学 材料科学 材料科学
- 化学工程是化学工程的重要组成部分.
- 物理化学 物理化学
背景情况:
- 渣渣粘度对于优化炼等工业过程至关重要.
- 了解渣渣成分,结构和粘度之间的关系至关重要.
- 拉曼光谱为复杂的酸盐网络结构提供了洞察力.
研究的目的:
- 为了研究氧化物组成对五组分MnO-SiO2-CaO-Al2O3-MgO渣系统的结构和粘度的影响.
- 为了将聚合度 (DOP) 和NBO/T量化的渣渣结构与粘度相关联.
- 根据结构分析验证渣粘度的预测模型.
主要方法:
- 合成了17种基于工业 manganese 炉的产品的渣组成.
- 使用拉曼光谱 (200-1200 cm-1) 用532nm激光对渣渣结构进行分析.
- 拉曼光谱 (800-1200 cm-1) 的解卷,以确定每个网络前 (NBO/T) 的聚合度 (DOP) 和非桥接氧气.
- 实验结构数据与来自FactSage模拟的粘度数据的比较.
主要成果:
- 增加的基本性导致更高的NBO/T值,表明DOP减少和酸盐结构的脱聚合.
- 与没有Al2O3的渣相比,Al2O3的加入显著增强了脱聚合.
- 将SiO2替换为Al2O3进一步使结构脱聚合.
- 替代MgO对无Al2O3渣的结构有很小的影响,但会导致含有Al2O3渣的脱聚合.
- 拉曼结构模型和NBO/T粘度模型与FactSage粘度预测有很好的一致性.
结论:
- 污泥结构,特别是聚合程度,受到基本性和Al2O3和MgO的存在的强烈影响.
- 开发的基于拉曼的结构模型准确地预测了废渣粘度.
- 这些发现为优化废渣成分以达到所需的工业过程性能提供了基础.
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