In this book, availability (Exergy) based SI engine model optimisation (ABSIEMO) is studied and evaluated. A four-stroke bi-fuel spark ignition (SI) engine model is developed for optimising engine performance based upon an availability analysis. An artificial neural network (ANN) is modelled based on availability based SI engine model (ABSIEM) results as an emulator to speed up executing of the optimisation processes programme. In this optimisation programme, constrained particle swarm optimisation (CPSO) is applied to identify parameters based upon availability and energy analysis. Moreover, in the optimisation process, the engine exhaust gases standard emission has been considered. Finally, the results of optimisation programme are compared and discussed.
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He received his B.Sc., M.Sc. and PhD degrees all in Mechanical Engineering. He graduated in PhD degree at the University of Bradford, UK. He is currently an Assistant Professor of Mechanical Engineering Department at KIAU. The author accomplished several numerous of academic research projects, published 31 papers and 4 technical books.
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In this book, availability (Exergy) based SI engine model optimisation (ABSIEMO) is studied and evaluated. A four-stroke bi-fuel spark ignition (SI) engine model is developed for optimising engine performance based upon an availability analysis. An artificial neural network (ANN) is modelled based on availability based SI engine model (ABSIEM) results as an emulator to speed up executing of the optimisation processes programme. In this optimisation programme, constrained particle swarm optimisation (CPSO) is applied to identify parameters based upon availability and energy analysis. Moreover, in the optimisation process, the engine exhaust gases standard emission has been considered. Finally, the results of optimisation programme are compared and discussed. 212 pp. Englisch. Seller Inventory # 9783659281068
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Rezapour KambizHe received his B.Sc., M.Sc. and PhD degrees all in Mechanical Engineering. He graduated in PhD degree at the University of Bradford, UK. He is currently an Assistant Professor of Mechanical Engineering Department at K. Seller Inventory # 5145397
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Taschenbuch. Condition: Neu. Availability Based SI Engine Model Optimisation | Using Simulation, Modelling, Artificial Neural Network (ANN) and Particle Swarm Optimisation (PSO) | Kambiz Rezapour | Taschenbuch | 212 S. | Englisch | 2012 | LAP LAMBERT Academic Publishing | EAN 9783659281068 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 106190362
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In this book, availability (Exergy) based SI engine model optimisation (ABSIEMO) is studied and evaluated. A four-stroke bi-fuel spark ignition (SI) engine model is developed for optimising engine performance based upon an availability analysis. An artificial neural network (ANN) is modelled based on availability based SI engine model (ABSIEM) results as an emulator to speed up executing of the optimisation processes programme. In this optimisation programme, constrained particle swarm optimisation (CPSO) is applied to identify parameters based upon availability and energy analysis. Moreover, in the optimisation process, the engine exhaust gases standard emission has been considered. Finally, the results of optimisation programme are compared and discussed.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 212 pp. Englisch. Seller Inventory # 9783659281068
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In this book, availability (Exergy) based SI engine model optimisation (ABSIEMO) is studied and evaluated. A four-stroke bi-fuel spark ignition (SI) engine model is developed for optimising engine performance based upon an availability analysis. An artificial neural network (ANN) is modelled based on availability based SI engine model (ABSIEM) results as an emulator to speed up executing of the optimisation processes programme. In this optimisation programme, constrained particle swarm optimisation (CPSO) is applied to identify parameters based upon availability and energy analysis. Moreover, in the optimisation process, the engine exhaust gases standard emission has been considered. Finally, the results of optimisation programme are compared and discussed. Seller Inventory # 9783659281068
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