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Please use this identifier to cite or link to this item: http://idr.iitbbs.ac.in/jspui/handle/2008/2388
Title: Prediction of NO to NO2 conversion efficiency with NTP-based diesel exhaust treatment using radial basis functions
Authors: Allamsetty S.
Mohapatro S.
Keywords: Dielectric barrier discharge
Diesel engine exhaust
NO conversion
NO removal
Non-thermal plasma
Prediction
Radial basis functions
Issue Date: 2019
Abstract: Non-thermal plasma (NTP) technique is one of the most outstanding techniques which gives superior results in reducing the concentration of NOX from diesel exhaust. However, NO to NO2 conversion reactions are predominant while NTP alone is used for exhaust treatment, with no adsorbents/catalysts. The NO to NO2 conversion efficiency depends on various electrical and physical parameters, and very few studies have been carried out to predict it with the variation in those parameters using soft computing techniques. In the present study, experiments were conducted with variations in voltage, flow rate, discharge gap width, and initial NOX concentration and observed the changes in the concentrations of NO and NO2. An approach has been made using MATLAB and radial basis functions (RBFs) to predict the NO to NO2 conversion efficiency of this particular experimental setup. Predicted values are well matched with the experimental values and as such provide strong support to use this method for such prediction problems. � Springer Nature Singapore Pte Ltd. 2019
URI: http://dx.doi.org/10.1007/978-981-13-1595-4_24
http://10.10.32.48:8080/jspui/handle/2008/2388
Appears in Collections:Research Publications

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