9783330020863 - using nanoparticles as a new generation of diesel fuel additives: exprimental and numerical consideration, with the aid of artificial neural network de soukht saraee, hossein; jafarmadar, samad (6 resultados)
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Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books
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Paperback. Condición: Brand New. 64 pages. 8.66x5.91x0.15 inches. In Stock.
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Librería: preigu, Osnabrück, Alemaniapreigu
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Taschenbuch. Condición: Neu. Using Nanoparticles as a new generation of diesel fuel additives | Exprimental and numerical consideration, with the aid of artificial neural network | Hossein Soukht Saraee (u. a.) | Taschenbuch | 64 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9783330020863 | Verantwortliche Person…für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 64 pp. Englisch.
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Librería: moluna, Greven, Alemaniamoluna
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Soukht Saraee HosseinHossein 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 e…ngines, focus on improving fuel.
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000
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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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 thi…s 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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 64 pp. Englisch.
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.
