MODELING OF IMPROVING CONVERSION EFFICIENCY FOR MONOLITHIC CATALYTIC CONVERTER BY GEOMETRICAL CHANGES IN SUBSTRATE LENGTH USING CFD
Author(s):
VINAYAK SHUKLA, Yogesh Tembhurne
Keywords:
Catalyst, CFD modelling, chemical reaction, conversion efficiency, simulation.
Abstract
In an engine transient condition, effects of different exhaust mass flows, inlet signal amplitudes and periods on dynamic responses of the three-way catalytic converter were investigated experimentally. Experimental results show that exhaust mass flows, inlet signal amplitudes and periods have important influence on engine emissions and oxygen storage capacity of Ceria for the three-way catalytic converter with CO2 catalyst in the wash coat. Vehicle population is expected to rise nearly to 1600 million via the year 2036. Because of partial ignition in the engine, there are many inadequate burned products as Carbon monoxide, Nitrous oxides, hydro carbons, harsh substances, etc. The particular toxins have an impact on air properties, atmosphere and human physical conditions that leads in severe norms of pollutant emission. Catalytic converter is a vehicle emissions control device that converts toxic pollutants in exhaust gas to less toxic pollutants by catalysing a redox reaction (oxidation or reduction). The CFD simulation of catalytic convertor has been done by using Ansys 14.5. This work describes the conversion efficiency by changing the substrate length of automotive three-way catalytic converters, which are employed to reduce engine exhaust emissions. It is found that the CFD model in simulating the performance of three-way catalytic converter. There is a difference of 2.4% for oxide of nitrogen, 2.1% for propane and 1.8 % for carbon monoxide increase in conversion efficiencies by increasing the substrate length by 10mm while by reducing the substrate length by 10mm conversion efficiency reduced. The result also shows that the increase in substrate length leads to reduce emission concentration.
Article Details
Unique Paper ID: 146879

Publication Volume & Issue: Volume 5, Issue 2

Page(s): 204 - 209
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Volume 6 Issue 2

Last Date 25 July 2019


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