Abstract
The emission of CO2 gases from catalytic converter demands attention to control for stability of climate system. In the present work, the explanatory parameters (exhaust gas flow rate, washcoat surface area and exhaust temperature) of catalytic converter of an automobile were modeled to predict the CO2 emission using fuzzy logic approach. The effect of explanatory parameters on CO2 emission was also studied and optimum ranges of the parameters were investigated to minimize the CO2 emission. The result showed the greater dependency of CO2 emission on engine exhaust gas flow rate followed by the washcoat surface area and exhaust gas temperature. 3D surface plots were also generated to study the interaction effects of the parameters on CO2 emission. The optimum range of explanatory parameters of catalytic converter for reduced CO2 emission was obtained as: exhaust gas flow rate: 300–550 cm3/min, washcoat surface area: 100–130 m2/g, exhaust temperature: 450–750 °C.
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Verma, R.P., Kumar, A., Chauhan, P.K., Dimri, A. (2019). Fuzzy Logic Modeling of Explanatory Variables of Catalytic Convertor of an Automobile for Prediction of CO2 Emission. In: Kumar, M., Pandey, R., Kumar, V. (eds) Advances in Interdisciplinary Engineering . Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-13-6577-5_11
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DOI: https://doi.org/10.1007/978-981-13-6577-5_11
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