ExhAUST: A Two Dimensional Numerical Soot Model for Advanced Design and Control of Diesel Engine Aftertreatment Systems

Despite their overwhelming popularity and widespread use, diesel engines have to strive to meet the continually tightening emission regulations. One of the most effective methods to control diesel particulate matter (PM) emissions from heavy duty diesel engines is to use wall flow Diesel Particulate Filters (DPFs). It is still a major challenge to get an accurate estimation of soot loading, which is crucial for the engine aftertreatment assembly optimization. In the recent past, several advanced computational models of DPF filtration and regeneration have been presented to assess the cost effective optimization of future particulate trap systems. In this study, the already presented 1D code [1,2] was extended to understand the impact of 2D representation to predict the transient behavior of a catalyzed Diesel Particulate Filter (CDPF). Quasi-steady state conservation of mass and momentum was solved to find the flow velocity and a previously validated, advanced filtration/regeneration model allowed a highly detailed representation of the soot loading, permeability, porosity and filtration efficiency. Results are presented in terms of comparison with the 1D code, over FTP engine transient cycle data gathered at the West Virginia University Engine and Emissions Research Laboratory (WVU-EERL), by keeping constant parameter set, for the sake of general validation of simplifying assumptions of the 1D code. Results generally state that the ID representation is effective toward PM loading prediction, although presenting considerable axial effects at higher DPF temperature.