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Development of models to study the emissions, flow, and kinetic characteristics from diesel oxidation catalysts and particulate filters.

机译:开发模型以研究柴油氧化催化剂和微粒过滤器的排放,流量和动力学特性。

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Models were developed to predict the emissions, flow, and kinetic characteristics from diesel oxidation catalysts and particulate filters used for diesel engine emissions control. Extensive experimental data was collected, and compared against both models with good agreement found in most cases. Parametric studies were performed to determine the effects on thermal and NO2-assisted oxidation due to variations in the engine operating conditions (exhaust gas temperatures, volumetric flow rates. O2 and NO2 concentrations). Heat generation phenomena inside a porous filter wall, was also studied to model the effect of microwave irradiation on the regeneration characteristics in a diesel particulate filter.; A one-dimensional model simulating the oxidation of CO, HC, and NO was developed to predict the gaseous emissions downstream of a diesel oxidation catalyst (DOC). The model is based on the conservation of mass, species, and energy inside the DOC. Steady-state experiments covering a wide range of operating conditions (exhaust temperatures, flow rates and gaseous emissions) were performed, and the data were used to calibrate the model. NO conversion efficiencies of 50% and higher were obtained at temperatures between 280°C and 370°C. CO conversion efficiencies of 85% and higher were found at every steady state condition above 200°C. HC conversion efficiencies of 75% and higher were found at every steady state condition above 200°C. The model agrees well with the experimental results at temperatures from 200°C to 500°C, and volumetric flow rates from 8--42 actual m3/min. The estimated activation energies and pre-exponential factors obtained from the model calibration are in good agreement with values reported in the literature. An analytic pressure drop model was used to estimate the pressure drop across the DOC channels, and agreement within 8% of the experimental data was obtained.; A one-dimensional model simulating the filtration and regeneration behavior in a diesel particulate filter (DPF) was developed. The model predicts the particulate mass evolution (deposition and oxidation) in a diesel particulate filter (DPF) during simultaneous loading, and during thermal and NO2 -assisted regeneration conditions. (Abstract shortened by UMI.)
机译:开发了用于预测柴油氧化催化剂和用于柴油机排放控制的微粒过滤器的排放,流量和动力学特性的模型。收集了大量的实验数据,并将其与两种模型进行比较,并且在大多数情况下均具有良好的一致性。进行了参数研究,以确定由于发动机工况(排气温度,体积流量,O2和NO2浓度)变化而对热氧化和NO2辅助氧化的影响。还研究了多孔过滤器壁内部的热生成现象,以模拟微波辐射对柴油机颗粒过滤器再生特性的影响。建立了模拟CO,HC和NO氧化的一维模型来预测柴油氧化催化剂(DOC)下游的气体排放。该模型基于DOC内部质量,物种和能量的守恒。进行了涵盖各种运行条件(排气温度,流量和气体排放)的稳态实验,并将数据用于校准模型。在280°C至370°C之间的温度下,NO转换效率达到50%或更高。在高于200°C的每个稳态条件下,发现CO转化效率达到85%和更高。在高于200°C的每个稳态条件下,发现HC转化率达到75%和更高。该模型与200°C至500°C的温度和8--42实际m3 / min的体积流量下的实验结果非常吻合。从模型校准中获得的估计活化能和指数前因子与文献中报道的值高度吻合。使用分析压降模型估算DOC通道上的压降,并获得实验数据的8%以内的一致性。建立了模拟柴油机微粒过滤器(DPF)中过滤和再生行为的一维模型。该模型预测了在同时加载期间以及在热和NO2辅助的再生条件下,柴油机微粒过滤器(DPF)中的微粒质量演变(沉积和氧化)。 (摘要由UMI缩短。)

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