Synopsis
Using Taguchi method total experiments are required are L16 which are simulated in ANSYS FEM solver (Version-14.5). Proper FEM simulation techniques are applied for these simulation cases and the modeling steps are also developed for this research study. After proper simulation of these cases two responses are selected to optimize this base design for further study. The two response selected from this study is von-misses stress and body weight. In present study various type of analysis is performed both cases like signal to noise ratio analysis, analysis of variance analysis, model equation generation, optimization of this model equation for stress and body weight of hip joint. Visual analysis is also present in this research study. All these major outcomes are present in this research study. Rank identification of factors are also present in this study. The signal to noise ratio analysis for stress shows that the best factor is ball diameter whereas worst factor is neck length of hip joint.
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Design Optimization of Prosthesis Hip Joint using FEM and TAGUCHI
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LAP LAMBERT Academic Publishing Mai 2019, 2019
ISBN 10: 6200115400
ISBN 13: 9786200115409
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Using Taguchi method total experiments are required are L16 which are simulated in ANSYS FEM solver (Version-14.5). Proper FEM simulation techniques are applied for these simulation cases and the modeling steps are also developed for this research study. After proper simulation of these cases two responses are selected to optimize this base design for further study. The two response selected from this study is von-misses stress and body weight. In present study various type of analysis is performed both cases like signal to noise ratio analysis, analysis of variance analysis, model equation generation, optimization of this model equation for stress and body weight of hip joint. Visual analysis is also present in this research study. All these major outcomes are present in this research study. Rank identification of factors are also present in this study. The signal to noise ratio analysis for stress shows that the best factor is ball diameter whereas worst factor is neck length of hip joint. 116 pp. Englisch. Seller Inventory # 9786200115409
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Design Optimization of Prosthesis Hip Joint using FEM and TAGUCHI
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LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200115400
ISBN 13: 9786200115409
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Ali Syed JunaidSyed Junaid Ali has completed Bachelors degree in Mechanical Engineering from Rajasthan Technical University Kota in year 2012 and completed Master s in Machine Design from the same university in year 2019. His area of. Seller Inventory # 297810904
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Design Optimization of Prosthesis Hip Joint using FEM and TAGUCHI
Published by
LAP LAMBERT Academic Publishing Mai 2019, 2019
ISBN 10: 6200115400
ISBN 13: 9786200115409
New
Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Using Taguchi method total experiments are required are L16 which are simulated in ANSYS FEM solver (Version-14.5). Proper FEM simulation techniques are applied for these simulation cases and the modeling steps are also developed for this research study. After proper simulation of these cases two responses are selected to optimize this base design for further study. The two response selected from this study is von-misses stress and body weight. In present study various type of analysis is performed both cases like signal to noise ratio analysis, analysis of variance analysis, model equation generation, optimization of this model equation for stress and body weight of hip joint. Visual analysis is also present in this research study. All these major outcomes are present in this research study. Rank identification of factors are also present in this study. The signal to noise ratio analysis for stress shows that the best factor is ball diameter whereas worst factor is neck length of hip joint.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 116 pp. Englisch. Seller Inventory # 9786200115409
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Design Optimization of Prosthesis Hip Joint using FEM and TAGUCHI
Published by
LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200115400
ISBN 13: 9786200115409
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Using Taguchi method total experiments are required are L16 which are simulated in ANSYS FEM solver (Version-14.5). Proper FEM simulation techniques are applied for these simulation cases and the modeling steps are also developed for this research study. After proper simulation of these cases two responses are selected to optimize this base design for further study. The two response selected from this study is von-misses stress and body weight. In present study various type of analysis is performed both cases like signal to noise ratio analysis, analysis of variance analysis, model equation generation, optimization of this model equation for stress and body weight of hip joint. Visual analysis is also present in this research study. All these major outcomes are present in this research study. Rank identification of factors are also present in this study. The signal to noise ratio analysis for stress shows that the best factor is ball diameter whereas worst factor is neck length of hip joint. Seller Inventory # 9786200115409
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Design Optimization of Prosthesis Hip Joint using FEM and TAGUCHI
Published by
LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200115400
ISBN 13: 9786200115409
New
Taschenbuch
Seller: preigu, Osnabrück, Germany
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Taschenbuch. Condition: Neu. Design Optimization of Prosthesis Hip Joint using FEM and TAGUCHI | Syed Junaid Ali (u. a.) | Taschenbuch | 116 S. | Englisch | 2019 | LAP LAMBERT Academic Publishing | EAN 9786200115409 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Seller Inventory # 116826044