Synopsis
Dans ce travail de recherche, l'optimisation de la conception du piston est réalisée à l'aide de méthodes DOE et simulée avec le logiciel Ansys FEM. La méthode DOE Taguchi a été choisie comme plan d'expériences pour ce travail de recherche. Cinq facteurs au total, à savoir le matériau du piston, la température de la couronne du piston, la pression du gaz dans le piston, le revêtement thermique de la tête de la couronne et le dernier facteur est la conception géométrique du piston. Chaque facteur a quatre niveaux. Un tableau orthogonal de 16 expériences est résolu pour l'étude de recherche. Les 16 expériences sont résolues à l'aide du logiciel Ansys FEM. Deux paramètres de réponse, la contrainte thermique et la déformation, sont sélectionnés pour ce travail de recherche. L'analyse du rapport signal/bruit est effectuée pour les deux réponses et le rang du facteur et du meilleur cas est identifié pour cette étude. Dans les deux cas, la conception du facteur et la température de la surface de la couronne sont les plus identiques et la meilleure condition limite pour l'optimisation de la conception du piston. L'analyse de la variance est également effectuée pour cette étude de recherche et l'équation de modélisation non linéaire est générée avec l'approbation du contrôle d'adéquation de ces équations de modélisation. La fonction de désirabilité composite est utilisée pour modifier l'analyse optimale pour les deux réponses nommées contrainte et déformation.
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Geometry & Process Parameter Optimisation of Piston by Taguchi Method
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LAP LAMBERT Academic Publishing Jan 2019, 2019
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ISBN 13: 9786139997343
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In this research work piston design optimisation is performed using DOE methods and simulates using Ansys FEM software. DOE method Taguchi is selected for design of experiments for this research work. Total five factors which are following material of piston, crown temperature of piston, gas pressure of piston, thermal coating of crown head and last factor is geometrical design of piston. Each factor have four level. Orthogonal array for 16 experiments are solved for research study. All 16 experiments are solved using Ansys FEM software. Two response parameters named thermal stress and deformation is selected for this research work. Signal to noise ratio analysis is performed for both responses and rank of factor and best case is identified for this study. In both cases factor design and temperature of crown surface is most identical and best boundary condition for piston design optimisation. Analysis of variance is also performed for this research study and non-linear modelling equation is generated with approval of adequacy check for these modelling equations. Composite desirability function is used to modify the optimum analysis for both responses named stress and deformation. 112 pp. Englisch. Seller Inventory # 9786139997343
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Geometry & Process Parameter Optimisation of Piston by Taguchi Method
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Geometry & Process Parameter Optimisation of Piston by Taguchi Method
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Geometry & Process Parameter Optimisation of Piston by Taguchi Method
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Gautam NavneetNavneet Gautam did his Bachelors in Mechanical Engineering from Rajasthan Technical University, Kota in the year 2015. He did his Masters in Machine Design Engineering from Jaganath University, Jaipur in the year 2018. . Seller Inventory # 274024513
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Geometry & Process Parameter Optimisation of Piston by Taguchi Method
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Geometry & Process Parameter Optimisation of Piston by Taguchi Method
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ISBN 10: 6139997348
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In this research work piston design optimisation is performed using DOE methods and simulates using Ansys FEM software. DOE method Taguchi is selected for design of experiments for this research work. Total five factors which are following material of piston, crown temperature of piston, gas pressure of piston, thermal coating of crown head and last factor is geometrical design of piston. Each factor have four level. Orthogonal array for 16 experiments are solved for research study. All 16 experiments are solved using Ansys FEM software. Two response parameters named thermal stress and deformation is selected for this research work. Signal to noise ratio analysis is performed for both responses and rank of factor and best case is identified for this study. In both cases factor design and temperature of crown surface is most identical and best boundary condition for piston design optimisation. Analysis of variance is also performed for this research study and non-linear modelling equation is generated with approval of adequacy check for these modelling equations. Composite desirability function is used to modify the optimum analysis for both responses named stress and deformation.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 112 pp. Englisch. Seller Inventory # 9786139997343
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Geometry & Process Parameter Optimisation of Piston by Taguchi Method
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LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6139997348
ISBN 13: 9786139997343
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In this research work piston design optimisation is performed using DOE methods and simulates using Ansys FEM software. DOE method Taguchi is selected for design of experiments for this research work. Total five factors which are following material of piston, crown temperature of piston, gas pressure of piston, thermal coating of crown head and last factor is geometrical design of piston. Each factor have four level. Orthogonal array for 16 experiments are solved for research study. All 16 experiments are solved using Ansys FEM software. Two response parameters named thermal stress and deformation is selected for this research work. Signal to noise ratio analysis is performed for both responses and rank of factor and best case is identified for this study. In both cases factor design and temperature of crown surface is most identical and best boundary condition for piston design optimisation. Analysis of variance is also performed for this research study and non-linear modelling equation is generated with approval of adequacy check for these modelling equations. Composite desirability function is used to modify the optimum analysis for both responses named stress and deformation. Seller Inventory # 9786139997343
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Geometry & Process Parameter Optimisation of Piston by Taguchi Method
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Taschenbuch. Condition: Neu. Geometry & Process Parameter Optimisation of Piston by Taguchi Method | Navneet Gautam (u. a.) | Taschenbuch | 112 S. | Englisch | 2019 | LAP LAMBERT Academic Publishing | EAN 9786139997343 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Seller Inventory # 115371976
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Geometry & Process Parameter Optimisation of Piston by Taguchi Method
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Condition: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | In this research work piston design optimisation is performed using DOE methods and simulates using Ansys FEM software. DOE method Taguchi is selected for design of experiments for this research work. Total five factors which are following material of piston, crown temperature of piston, gas pressure of piston, thermal coating of crown head and last factor is geometrical design of piston. Each factor have four level. Orthogonal array for 16 experiments are solved for research study. All 16 experiments are solved using Ansys FEM software. Two response parameters named thermal stress and deformation is selected for this research work. Signal to noise ratio analysis is performed for both responses and rank of factor and best case is identified for this study. In both cases factor design and temperature of crown surface is most identical and best boundary condition for piston design optimisation. Analysis of variance is also performed for this research study and non-linear modelling equation is generated with approval of adequacy check for these modelling equations. Composite desirability function is used to modify the optimum analysis for both responses named stress and deformation. Seller Inventory # 33665110/2
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