Extended Model for Filtration in Gasoline Particulate Filters under Practical Driving Conditions.,Environmental Science & Technology

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Extended Model for Filtration in Gasoline Particulate Filters under Practical Driving Conditions.
Environmental Science & Technology ( IF 10.8 ) Pub Date : 2020-06-29 , DOI: 10.1021/acs.est.0c02487
Raimund Walter _{1,

2} , Jens Neumann ₁ , Olaf Hinrichsen ₂

Affiliation

In order to reliably predict the particle number filtration of gasoline particulate filters (GPF) under practical driving conditions, an extension to established filtration models is developed. For the validation of this approach and in order to close a gap of available measurement data at high space velocity in the literature, the particle-size-resolved fresh filtration efficiency of seven different cordierite filters is determined experimentally. Moreover, the experiments on a dynamic engine test bench focus on the impact of the pore-size distribution and the filter wall thickness under steady-state as well as transient, cold-start conditions. In order to model all trends observed, a new correlation for the particle collection due to inertial deposition is proposed and embedded in a heterogeneous multiscale model framework for a GPF. The presented approach can predict all trends observed in the measurements, including a stabilization of the filtration efficiency with increasing space velocities above a certain level. A comparison of several modeling approaches reveals the partly different behaviors at varying space velocities for the here presented model as well as for established filtration models.

中文翻译：

实际驾驶条件下汽油颗粒过滤器过滤的扩展模型。

为了可靠地预测实际驾驶条件下汽油微粒过滤器（GPF）的颗粒数过滤，开发了对已建立的过滤模型的扩展。为了验证这种方法，并为了弥补文献中在高空速下可获得的测量数据的空白，通过实验确定了七个不同堇青石过滤器的粒径分辨新鲜过滤效率。此外，在动态发动机试验台上进行的实验着眼于稳态以及瞬态，冷启动条件下孔径分布和过滤器壁厚的影响。为了对观察到的所有趋势进行建模，提出了一种由惯性沉积引起的粒子收集的新关联，并将其嵌入到GPF的异构多尺度模型框架中。提出的方法可以预测在测量中观察到的所有趋势，包括在一定水平以上增加空速时过滤效率的稳定。几种建模方法的比较揭示了本文介绍的模型以及已建立的过滤模型在不同空间速度下的部分不同行为。

更新日期：2020-08-04

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