催化型微粒捕集器主被动再生性能数值模拟
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国家自然科学基金资助项目(50776062、51276128)和天津市自然科学基金重点项目(11JCZDJC23200)


Computational Investigation in Active and Passive Regeneration Characteristics of Catalytic Particulate Filter
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    摘要:

    通过数值模拟和发动机试验验证,建立了催化型微粒捕集器(CPF)的数值模型,引入微粒(PM)催化再生比α用以评价CPF催化剂催化效率,分析研究了CPF进口条件等对催化效率的影响并依据催化效率区间选择催化剂涂覆量大小;分析了3种过滤体孔道形状、壁面渗透率、碳烟渗透率等对CPF压降特性以及主动再生频率的影响;研究了3种物理参数对CPF主动再生最高温度的影响。结果表明:在特定温度范围内,随着初始碳烟量和NO与NO2体积分数比的提高,催化剂催化效率提高;正六边形孔道、高壁面渗透率及高碳烟渗透率情况下,主动再生频率较低;正四边形孔道、高壁面渗透率和低碳烟渗透率情况下主动再生最高温度较低。

    Abstract:

    A CPF numerical model was proposed with experimental verification. The paper introduced PM (particulate matter) catalytic regeneration percentage (α) as a criterion of CPF catalytic efficiency, investigated the influences of inlet conditions on catalytic efficiency, and selected the catalyst loading based on certain catalytic efficiency range. In addition, the effects of three kinds of channel shape, wall permeability and soot permeability on the pressure drop of CPF, the frequency of active regeneration and the maximum regeneration temperature were investigated. The results show that during certain temperature range, the increases in initial soot quantity and NO/NO2 volume proportion enhance the catalytic efficiency; the active regeneration frequency drops under the condition of hexagon channel, high wall permeability and high soot permeability; the maximum active regeneration temperature is low under the condition of square channel, high wall permeability and low soot permeability.

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李志军,杨士超,焦鹏昊,杨 阳,侯普辉,申博玺.催化型微粒捕集器主被动再生性能数值模拟[J].农业机械学报,2014,45(5):37-43.

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  • 收稿日期:2013-05-22
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  • 在线发布日期: 2014-05-10
  • 出版日期: 2014-05-10