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NEW METHODOLOGIES FOR EXHAUST SYSTEM DESIGN

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The first efficient model and computer code for the catalytically assisted regeneration of diesel particulate filters (traps) was developed. This computational tool, along with other tools modelling thermal regeneration of traps, exhaust system transient heat transfer, diesel oxidation and lean nitrogen oxide catalysts, support a complete computer aided engineering (CAE) methodology for diesel exhaust systems. The fuel additive-assisted regeneration of diesel particulate filters is modelled by an innovative approach taking into account the dynamic oxygen storage and release properties of additives. The code may be tuned to the specific characteristics of a variety of catalytic fuel additives, based on the results of full scale experiments. The model allows the comparative assessment of different fuel additives for regeneration assistance, as well as supporting a full CAE methodology with respect to the design optimization of diesel particulate control systems.
A set of fundamental computational tools was developed which support a computer-aided engineering (CAE) methodology assisting the design optimization of catalytic exhaust after treatment systems for spark-ignition engined vehicles. The CAE methodology may also cover diesel exhaust systems. The set comprises an exhaust system transient heat transfer code, a 3-way catalytic converter transient code, a catalytic converter ageing assessment code and a database containing kinetics and other information for a variety of catalyst formulations and washcoats. A full CAE methodology was developed, that may be exploited in the following directions: 3-way catalytic converter design optimization (geometry, position, formulation); ageing assessment computations (design and assessment of fast ageing; assessment and optimization of fast-light-off techniques; on-board diagnostics (OBD II) for catalytic exhaust systems; fuel injection management system optimization for best converter efficiency.

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