Development of a 1-D CPF Model to Simulate Active Regeneration of a Diesel Particulate Filter

Kiran  Premchand, Michigan Tech University

A quasi-steady 1-dimensional computer model of a catalyzed particulate filter (CPF) has been developed at MTU. This model is capable of simulating the processes that are associated with the flow, filtration, gas-phase kinetics and particulate matter (PM)-related kinetics that take place in the particulate filter during active regeneration via fuel injection upstream of a diesel oxidation catalyst placed upstream of the particulate filter or other means of elevating the filter inlet gas temperature. By doing so, the model is able to predict overall pressure drop across the particulate filter and its components during various stages of the active regeneration experiments such as loading, active regeneration and post-loading, PM mass balance (and its location-wise distribution), gaseous species concentrations, filtration efficiency, gas temperature and velocities as functions of axial location in the CPF and time. In this presentation, an overview of the development of this model from the governing equations is shown. Results from calibrating the model to data obtained from a set of experiments conducted at MTU are also presented.

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