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  • 标题:Optimum Modeling of Catalytic Converter for Limited Back Pressure
  • 本地全文:下载
  • 作者:N.Suresh Babu ; D.Ramesh Babu ; M.Mastanaiah
  • 期刊名称:International Journal of Advances in Engineering and Management
  • 电子版ISSN:2395-5252
  • 出版年度:2021
  • 卷号:3
  • 期号:12
  • 页码:279-285
  • DOI:10.35629/5252-03125057
  • 语种:English
  • 出版社:IJAEM JOURNAL
  • 摘要:These days the level of harmful gases has been increasing in the atmosphere. This growth in pollutants causes a great change in global climate patterns. The emissions from automobiles have become the prime reason for green house effect. In order to reduce the emissions released out of vehicles a device termed as catalytic converter is installed in them. A Catalytic converter is a simple pollution minimizing unit that helps in eliminating the dangerous gases like CO, unburnt HC, NOX etc. This converter is used to convert toxic fumes delivered by an engine into lesstoxic fumes like H2O, CO2, N2 respectively. Still it increases the exhaust backpressure. Basically, the enhancement of backpressure causes an additional consumption of fuel and minimizes break thermal efficiency which results in poor performance of the vehicle. The exhaust backpressure can be shortened by considering a proper inlet cone angle. In this project, the study of seven designs of catalytic converters and their modeling was carried out by changing the inlet cone angle. The main objective of this paper is to obtain the optimum inlet cone angle which produces the minimum backpressure. With the help of CATIA software, the design of seven catalytic converters was done. The flow analysis was executed in ANSYS FLUENT software by taking suitable boundary conditions and fluid properties into consideration. Eventually, Computational Fluid Dynamic analysis was also performed on these models and the results of backpressures of seven models were also compared.
  • 关键词:Catalytic converter;Emissions;Backpressure;ANSYS
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