Development of the Methodology for Quantifying the 3D PM Distribution in a Catalyzed Particulate Filter with a Terahertz Wave Scanner

2014-01-1573

04/01/2014

Event
SAE 2014 World Congress & Exhibition
Authors Abstract
Content
Optimizing the performance of the aftertreatment system used on heavy duty diesel engines requires a thorough understanding of the operational characteristics of the individual components. Within this, understanding the performance of the catalyzed particulate filter (CPF), and the development of an accurate CPF model, requires knowledge of the particulate matter (PM) distribution throughout the substrate. Experimental measurements of the PM distribution provide the detailed interactions of PM loading, passive oxidation, and active regeneration. Recently, a terahertz wave scanner has been developed that can non-destructively measure the three dimensional (3D) PM distribution. To enable quantitative comparisons of the PM distributions collected under different operational conditions, it is beneficial if the results can be discussed in terms of the axial, radial, and angular directions. This paper focuses on the development of an analysis method and metrics that quantitatively describe the PM distribution in the aforementioned directions. The metrics are a uniformity index (UI) and the 95th percentile range (PR). A uniformity index (UI) metric is further employed to qualify the 3D distribution as uniform or not. The developed analysis method was applied to scan data collected from CPFs tested under multiple engine conditions to evaluate the analysis methods ability to quantify the PM distribution.
Meta TagsDetails
DOI
https://doi.org/10.4271/2014-01-1573
Pages
19
Citation
Foley, R., Naber, J., Johnson, J., and Rogoski, L., "Development of the Methodology for Quantifying the 3D PM Distribution in a Catalyzed Particulate Filter with a Terahertz Wave Scanner," SAE Technical Paper 2014-01-1573, 2014, https://doi.org/10.4271/2014-01-1573.
Additional Details
Publisher
Published
Apr 1, 2014
Product Code
2014-01-1573
Content Type
Technical Paper
Language
English