Using Nanoparticles as a new generation of diesel fuel additives: Exprimental and numerical consideration, with the aid of artificial neural network - Couverture souple

Soukht Saraee, Hossein; Jafarmadar, Samad

 
9783330020863: Using Nanoparticles as a new generation of diesel fuel additives: Exprimental and numerical consideration, with the aid of artificial neural network
Couverture souple
ISBN 10 : 3330020865 ISBN 13 : 9783330020863
Editeur : LAP LAMBERT Academic Publishing, 2016

Synopsis

Reduction of exhaust emission and fuel consumption is one of the most important challenges in the engine communities. One of the methods to overcome the issue is improving fuel by modification or reformulation of its composition. To this end, the experiments were conducted such that the power, emissions, and fuel consumption on a CI diesel engine were altered using fuel blend of diesel with nanoparticles. Decrease in the fuel consumption and lower amounts of NOx, HC, and CO emissions than that of base fuel are the results of using nano additive. An alternative method for analysis and predictions in engineering area especially in internal combustion engines [55-58], is using of Artificial Neural Network (ANN). ANN simulation has gained ground in many engineering applications due to its simplicity, accuracy, and convergence rate in comparison with numerical means particularly while dealing with fuzzy and complicated database. ANN modeling was adopted to predict a correlation between brake power, fuel consumption, HC, CO, NOx using different amounts of nanoparticles and speeds as input data.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

Reduction of exhaust emission and fuel consumption is one of the most important challenges in the engine communities. One of the methods to overcome the issue is improving fuel by modification or reformulation of its composition. To this end, the experiments were conducted such that the power, emissions, and fuel consumption on a CI diesel engine were altered using fuel blend of diesel with nanoparticles. Decrease in the fuel consumption and lower amounts of NOx, HC, and CO emissions than that of base fuel are the results of using nano additive. An alternative method for analysis and predictions in engineering area especially in internal combustion engines [55-58], is using of Artificial Neural Network (ANN). ANN simulation has gained ground in many engineering applications due to its simplicity, accuracy, and convergence rate in comparison with numerical means particularly while dealing with fuzzy and complicated database. ANN modeling was adopted to predict a correlation between brake power, fuel consumption, HC, CO, NOx using different amounts of nanoparticles and speeds as input data.

Biographie de l'auteur

Hossein Soukht Saraee was born in Darkalate, Iran (in 1986), studied in mechanical engineering with research interest of solving the environmental problems due to combustion of IC engines, focus on improving fuels and introducing promising alternative fuels. More than 15 scientific papers and 6 patents are the results of his work in this province.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2016
Langue
anglais
ISBN 10 
3330020865
ISBN 13 
9783330020863
Reliure
Broché
Nombre de pages
64
Coordonnées du fabricant
non disponible
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