Improving the Prediction Capabilities of Aftertreatment Models to Meet Future Emission Regulations
项目名称: Improving the Prediction Capabilities of Aftertreatment Models to Meet Future Emission Regulations
摘要: Future emission standards are driving the need for advanced combustion systems for both spark and compression ignition engines. Even with the implementation of cooled Exhaust Gas Recirculation and Low Temperature Combustion, it is unlikely that in-cylinder combustion strategies alone will reduce all engine-out emissions to levels below the proposed standards. As a result, complex catalytic aftertreatment systems are needed to meet tailpipe regulations. The majority of these devices contain Platinum Group Metals (PGM) blended to achieve the proper beneficial catalytic properties based on the intended platform. By researching the large number of papers available on catalysis over PGM, this project intends to create an accurate and flexible kinetic mechanism as a function of these different materials. This will allow a transfer of kinetic models to different engine platforms while maintaining a high level of accuracy.
状态: Active
资金: 0.00
资助组织: University of Kansas, Lawrence
执行机构: University of Kansas, Lawrence
开始时间: 20071000
主题领域: Highways;Research;Vehicles and Equipment;I15: Environment
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