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Modeling of diesel particulate filter filtration and regeneration for transient driving schedules.

机译:柴油颗粒过滤器的过滤和再生建模,用于瞬态行驶时间表。

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摘要

Due to their high thermal efficiency, diesel engines have excellent fuel economy and have been widely used as a power source for many vehicles. Diesel engines emit less greenhouse gases (carbon dioxide) compared with gasoline engines. However, diesel engines emit large amounts of particulate matter (PM) which can imperil human health. The best way to reduce the particulate matter is by using the Diesel Particulate Filter (DPF) system which consists of a wall-flow monolith which can trap particulates, and the DPF can be periodically regenerated to remove the collected particulates.;The estimation of the PM mass accumulated in the DPF and total pressure drop across the filter are very important in order to determine when to carry out the active regeneration for the DPF. In this project, by developing a filtration model and a pressure drop model, we can estimate the PM mass and the total pressure drop, then, these two models can be linked with a regeneration model which has been developed previously to predict when to regenerate the filter.;There results of this project were: (1) Reproduce a filtration model and simulate the processes of filtration. By studying the deep bed filtration and cake filtration, stages and quantity of mass accumulated in the DPF can be estimated. It was found that the filtration efficiency increases faster during the deep-bed filtration than that during the cake filtration. A "unit collector" theory was used in our filtration model which can explain the mechanism of the filtration very well. (2) Perform a parametric study on the pressure drop model for changes in engine exhaust flow rate, deposit layer thickness, and inlet temperature. It was found that there are five primary variables impacting the pressure drop in the DPF which are temperature gradient along the channel, deposit layer thickness, deposit layer permeability, wall thickness, and wall permeability. (3) Link the filtration model and the pressure drop model with the regeneration model to determine the time to carry out the regeneration of the DPF. It was found that the regeneration should be initiated when the cake layer is at a certain thickness, since a cake layer with either too big or too small an amount of particulates will need more thermal energy to reach a higher regeneration efficiency. (4) Formulate diesel particulate trap regeneration strategies for real world driving conditions to find out the best desirable conditions for DPF regeneration. It was found that the regeneration should be initiated when the vehicle's speed is high and during which there should not be any stops from the vehicle. Moreover, the regeneration duration is about 120 seconds and the inlet temperature for the regeneration is 710K.
机译:由于其高热效率,柴油发动机具有出色的燃油经济性,并已被广泛用作许多车辆的动力源。与汽油发动机相比,柴油发动机排放的温室气体(二氧化碳)更少。但是,柴油发动机会排放大量颗粒物(PM),这会危害人体健康。减少颗粒物的最佳方法是使用柴油机颗粒过滤器(DPF)系统,该系统由壁流式整料组成,可以捕集颗粒物,并且DPF可以定期再生以去除收集到的颗粒物。为了确定何时对DPF进行主动再生,DPF中积累的PM质量和整个过滤器上的总压降非常重要。在这个项目中,通过开发过滤模型和压降模型,我们可以估算PM的质量和总压降,然后,这两个模型可以与先前已经开发出来的再生模型联系起来,以预测何时再生该项目的成果是:(1)再现了一个过滤模型并模拟了过滤过程。通过研究深床过滤和滤饼过滤,可以估算DPF中积累的物料的阶段和数量。发现深床过滤期间的过滤效率比饼过滤期间的过滤效率增加更快。在我们的过滤模型中使用了“单位收集器”理论,可以很好地解释过滤的机理。 (2)对压降模型进行参数研究,以研究发动机排气流量,沉积层厚度和入口温度的变化。已发现影响DPF中压降的五个主要变量是沿通道的温度梯度,沉积层厚度,沉积层渗透率,壁厚和壁渗透率。 (3)将过滤模型和压降模型与再生模型联系起来,以确定进行DPF再生的时间。已经发现,当滤饼层处于一定厚度时,应当开始再生,因为具有太大或太小的颗粒量的滤饼层将需要更多的热能来达到更高的再生效率。 (4)制定针对现实驾驶条件的柴油机微粒捕集器再生策略,以找出DPF再生的最佳理想条件。已经发现,当车辆的速度较高并且在此期间车辆不应停止时,应启动再生。此外,再生持续时间约为120秒,并且再生的入口温度为710K。

著录项

  • 作者

    Huang, Di.;

  • 作者单位

    Michigan Technological University.;

  • 授予单位 Michigan Technological University.;
  • 学科 Engineering Chemical.
  • 学位 Ph.D.
  • 年度 2011
  • 页码 194 p.
  • 总页数 194
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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