The regeneration equilibrium state character that deposition velocity and oxidation rate of particulates in the filter of catalytic gasoline particulate filter are equal is an important index for evaluating the working performance of particulate filter. The temperature and pressure drop under equilibrium state can directly affect the regeneration efficiency and service life of the filter of catalytic particulate filter. Based on non-linear dynamics and multi-field cooperation theory, this project, by combining numerical simulation and experiment, and on the basis of researching the mechanism of heterogeneous catalytic reaction of regeneration equilibrium state of the filter of catalytic gasoline particulate, analyzed the mechanism and dynamic characteristics of the influence from relevant parameters on the temperature and pressure drop under equilibrium state amid cyclic regeneration process. The physical fields were ensured to be synergetic with cyclic regeneration process under equilibrium state, aiming at realizing the regeneration efficiency of the filter of catalytic gasoline particulate, and extending its service life. The research achievements of this project not only have important theoretical and application values for the system design and matching of catalytic gasoline particulate filter, but also provide certain reference and basis for controlling mobile pollution source and environmental protection.
汽油车催化型微粒捕集器过滤体内,微粒的沉积速度与氧化速度相同的再生平衡态特性是衡量微粒捕集器工作性能的重要评价指标,而平衡态温度和压降特性能直接影响催化型微粒捕集器过滤体再生效率和使用寿命。本项目基于非线性动力学和多场协同理论,采用数值模拟与实验相结合的方法,在研究催化型微粒捕集器过滤体再生平衡态多相基元催化反应机理的基础上,辨析连续再生过程中各相关影响参数对平衡态温度和压降的影响机制和动力学特征,确保再生平衡态中各物理场与连续再生过程协同一致,以期能实现提高催化型微粒捕集器过滤体再生效率,并延长其使用寿命。课题研究成果不仅对汽油车催化型微粒捕集器系统设计和匹配具有重要的理论和应用价值,也可为移动污染源治理、环境保护提供一定的参考依据。
汽油机微粒捕集器再生平衡态特性是衡量微粒捕集器工作性能的重要评价指标,而NO转化效率能直接影响催化型微粒捕集器平衡态再生效率和使用寿命。本项目基于催化型微粒捕集器过滤体再生平衡态多相基元催化反应机理,采用数值模拟与实验相结合的方法,研究了不同影响参数对汽油机催化型微粒捕集器再生平衡态温度与压降的影响规律,定义了评价汽油机催化型微粒捕集器催化效率和再生性能的指标参数,获得了基于汽油机系统最佳燃油消耗以及功率条件下的微粒捕集器平衡态再生过程的优化策略和方法,提出了一种用于提高催化型微粒捕集器NO转化效率的优化机制。项目执行期间以第一作者或通讯作者发表相关学术论文8篇,其中SCI论文7篇(包括一区Top期刊论文5篇, ESI高被引论文1篇和热点论文1篇);申请国家发明专利4项,其中已授权国家发明专利1项;培养研究生5人。
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数据更新时间:2023-05-31
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