Innovation

Particulate Filter Modeling

Michigan Technological University
posted on 12/23/2011

Diesel particulate filters are designed to remove particulate matter (soot) from the exhaust of diesel vehicles. Wall-flow particulate filters remove at least 85% of the soot, and can remove as much as 100% when heavily loaded. Currently, these systems are fitted to vehicles after they’ve been designed, which doesn’t allow the diesel particulate filter to reach its true potential.

Suggested Uses

- Automobile
- Mining
- Vehicle research

Advantages

- Cost effective
- Environmentally safer
- Easy to test


Innovation Details
 

Detailed Description

Researchers at Michigan Tech have developed numerical models to simulate the filtration and regeneration performance of catalyzed diesel particulate filters (CPFs). These software solutions use FORTRAN computer code to model filters that would best fit vehicles while still in the prototype stage and allow for a more natural fit that reduces emissions from the inception. The software will allow designers to assess various changes to filter design on key performance characteristics such as transport phenomena (pressure drop, oxidized particulate mass, filtration efficiency, etc.) of a both a single cell and multi cell (100 or 200 cells/in2) particulate filter.

Two separate models were developed: The first model is a one-dimensional catalyzed wall-flow particulate filter model with the dimension being the length of the trap. Two layers of particulate matter are assumed for the particles deposited in the filter, i.e., the layer I next to the catalyst and layer 2 on top of layer I where only thermal oxidation occurs. The second model is a lumped parameter wall-flow particulate filter model that is lumped with zero dimensions where a single layer of particulate matter is assumed for the particles deposited in the filter.

File Number: 200241.00 and 200242.00 


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This innovation currently is not available for online licensing. Please contact Michael Morley at Michigan Technological University for more information.

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Michael Morley Michael Morley

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February 11, 2009

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