Geometry Process Parameter Optimisation by Gautam Navneet (9 results)
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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.
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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.
Language: English
Published by LAP LAMBERT Academic Publishing Jan 2019 2019
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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 fo…llowing 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.
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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 Univer…sity, Jaipur in the year 2018. .
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Language: English
Published by LAP LAMBERT Academic Publishing Jan 2019 2019
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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 follow…ing 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.
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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 followi…ng 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.
