Performance-Emission Optimization of a CRDI engine using PSO - Couverture souple

Roy Sumit ; Das Ajoy Kumar ; Bose Probir Kumar

9783659743047: Performance-Emission Optimization of a CRDI engine using PSO

Couverture souple

ISBN 10 : 3659743046 ISBN 13 : 9783659743047

Editeur : LAP Lambert Academic Publishing, 2015

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Compte tenu des observations sur les caract�ristiques de compromis sup�rieures inh�rentes aux PM-NOx-BSFC fournies par CRDI avec les strat�gies GNC et EGR pendant l'exp�rience, une toile de fond potentielle est donc con�ue pour parcourir une approche d'optimisation premi�re du genre pour renforcer le potentiel de compromis du GNC et de l'EGR par leur application simultan�e dans un moteur diesel existant avec syst�me d'injection de carburant � rampe commune. FIP, EGR, CES et la charge moteur ont �t� choisis comme variables de contr�le pour l'�tude d'optimisation. Une fonction de m�rite adaptative (AMF) a �t� constitu�e comme fonction objective � optimiser et ANN a �t� utilis�e corr�ler la fonction objectif avec les variables de contr�le choisies tandis que Latin-Hypercube a �t� choisi comme planificateur DoE pour fournir l'�chantillon de population initial pour la s�quence d'it�ration d'optimisation. Le PSO a �t� choisi comme algorithme d'optimisation en raison de sa simplicit� et de son efficacit� inh�rentes � produire une convergence assur�e de la fonction objectif � un co�t de calcul nettement inf�rieur. La conception inh�rente de la fonction d'objectif AMF a permis de garantir que toutes ces valeurs de compromis optimales respectent simultan�ment les attentes des mandats EPA Tier 4 PM et NHC.

Les informations fournies dans la section � Synopsis � peuvent faire r�f�rence � une autre �dition de ce titre.

�diteur: LAP Lambert Academic Publishing
Date d'�dition: 2015
Langue: anglais
ISBN 10: 3659743046
ISBN 13: 9783659743047
Reliure: Broch�
Nombre de pages: 56
Coordonn�es du fabricant: non disponible
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Performance-Emission Optimization of a CRDI engine using PSO

Sumit Roy

Edit� par LAP LAMBERT Academic Publishing Jun 2015, 2015

ISBN 10 : 3659743046 ISBN 13 : 9783659743047

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In consideration with the observations on the inherent superior PM-NOx-BSFC trade-off characteristics provided by CRDI with CNG and EGR strategies during experimentation, a potential back drop is thus set to peruse a first of its kind optimization approach to further the trade-off potential of CNG and EGR by their simultaneous application in an existing diesel engine with common rail fuel injection system. FIP, EGR, CES and engine load were chosen as the control variables for the optimization study. An Adaptive Merit Function (AMF) was constituted as the objective function to be optimized and ANN was used correlate the objective function with the chosen control variables while Latin-Hypercube was chosen as the DoE scheduler to provide the initial population sample for the optimization iteration sequence. PSO was chosen as the optimization algorithm due to its inherent simplicity and efficiency in yielding an ensured convergence of the objective function at significantly less computational cost. The inherent design of the AMF objective function ensured that all such optimal trade-off values simultaneously honoured the expectations of the EPA Tier 4 PM and NHC mandates. 56 pp. Englisch. N� de r�f. du vendeur 9783659743047

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Performance-Emission Optimization of a CRDI engine using PSO

Sumit Roy|Ajoy Kumar Das|Probir Kumar Bose

Edit� par LAP LAMBERT Academic Publishing, 2015

ISBN 10 : 3659743046 ISBN 13 : 9783659743047

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Performance-Emission Optimization of a CRDI engine using PSO

Sumit Roy

Edit� par LAP LAMBERT Academic Publishing Jun 2015, 2015

ISBN 10 : 3659743046 ISBN 13 : 9783659743047

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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -In consideration with the observations on the inherent superior PM-NOx-BSFC trade-off characteristics provided by CRDI with CNG and EGR strategies during experimentation, a potential back drop is thus set to peruse a first of its kind optimization approach to further the trade-off potential of CNG and EGR by their simultaneous application in an existing diesel engine with common rail fuel injection system. FIP, EGR, CES and engine load were chosen as the control variables for the optimization study. An Adaptive Merit Function (AMF) was constituted as the objective function to be optimized and ANN was used correlate the objective function with the chosen control variables while Latin-Hypercube was chosen as the DoE scheduler to provide the initial population sample for the optimization iteration sequence. PSO was chosen as the optimization algorithm due to its inherent simplicity and efficiency in yielding an ensured convergence of the objective function at significantly less computational cost. The inherent design of the AMF objective function ensured that all such optimal trade-off values simultaneously honoured the expectations of the EPA Tier 4 PM and NHC mandates.VDM Verlag, Dudweiler Landstra�e 99, 66123 Saarbr�cken 56 pp. Englisch. N� de r�f. du vendeur 9783659743047

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Performance-Emission Optimization of a CRDI engine using PSO : Metamodel based optimization case study

Sumit Roy

Edit� par LAP LAMBERT Academic Publishing, 2015

ISBN 10 : 3659743046 ISBN 13 : 9783659743047

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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In consideration with the observations on the inherent superior PM-NOx-BSFC trade-off characteristics provided by CRDI with CNG and EGR strategies during experimentation, a potential back drop is thus set to peruse a first of its kind optimization approach to further the trade-off potential of CNG and EGR by their simultaneous application in an existing diesel engine with common rail fuel injection system. FIP, EGR, CES and engine load were chosen as the control variables for the optimization study. An Adaptive Merit Function (AMF) was constituted as the objective function to be optimized and ANN was used correlate the objective function with the chosen control variables while Latin-Hypercube was chosen as the DoE scheduler to provide the initial population sample for the optimization iteration sequence. PSO was chosen as the optimization algorithm due to its inherent simplicity and efficiency in yielding an ensured convergence of the objective function at significantly less computational cost. The inherent design of the AMF objective function ensured that all such optimal trade-off values simultaneously honoured the expectations of the EPA Tier 4 PM and NHC mandates. N� de r�f. du vendeur 9783659743047

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