9786202007726 - Optimization of Cutting Parameters for S.R. during T.O. of A.SteelEN24 de Agarwal, Ajay Kumar (6 resultados)

Paperback. Condición: Brand New. 72 pages. 8.66x5.91x0.17 inches. In Stock.

Taschenbuch. Condición: Neu. Optimization of Cutting Parameters for S.R. during T.O. of A.SteelEN24 | Ajay Kumar Agarwal | Taschenbuch | 72 S. | Englisch | 2019 | LAP LAMBERT Academic Publishing | EAN 9786202007726 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In the present study, Taguchi method is used to find the optimal cutting parameters for surface roughness (Ra) in turning. The L-9 orthogonal array, the signal-to-noise ratio & analysis of variance are employed to study the performance characteristics in turning operations of Alloy Steel EN 24. The four cutting parameters namely, insert radius, depth of cut, feed & cutting speed are optimized with considerations of surface roughness. Finally, relational analysis is used to analyze the process with multi performance characteristics. The analysis of variance was used to determine the significant turning parameter that affects the performance characteristics. Lastly, the conformation test reveals the effectiveness of Grey Analysis, used to obtain the optimal combination of turning parameters. In experimental work, the feed rate is observed as most significant machining parameter with a contribution of 64%. The optimal combination of machining parameters is found for set A1, B2, C3, D3 by Grey Relational Analysis. The conformation test confirms that optimal combination determined by Grey Relational grade really provides the optimized combination of cutting parameters. 72 pp. Englisch.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Agarwal Ajay KumarAjay Kumar Agarwal - He is pursuing Ph.D. He has received his B Tech., M.B.A &amp M.Tech. in ME, OB &amp HRD and ME from K.U.K, G.J.U, Hisar (Haryana) and M.B.U, Solan (H.P.) in 2005, 2008 &amp 2012. He plays a m.

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In the present study, Taguchi method is used to find the optimal cutting parameters for surface roughness (Ra) in turning. The L-9 orthogonal array, the signal-to-noise ratio & analysis of variance are employed to study the performance characteristics in turning operations of Alloy Steel EN 24. The four cutting parameters namely, insert radius, depth of cut, feed & cutting speed are optimized with considerations of surface roughness. Finally, relational analysis is used to analyze the process with multi performance characteristics. The analysis of variance was used to determine the significant turning parameter that affects the performance characteristics. Lastly, the conformation test reveals the effectiveness of Grey Analysis, used to obtain the optimal combination of turning parameters. In experimental work, the feed rate is observed as most significant machining parameter with a contribution of 64%. The optimal combination of machining parameters is found for set A1, B2, C3, D3 by Grey Relational Analysis. The conformation test confirms that optimal combination determined by Grey Relational grade really provides the optimized combination of cutting parameters.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 72 pp. Englisch.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In the present study, Taguchi method is used to find the optimal cutting parameters for surface roughness (Ra) in turning. The L-9 orthogonal array, the signal-to-noise ratio & analysis of variance are employed to study the performance characteristics in turning operations of Alloy Steel EN 24. The four cutting parameters namely, insert radius, depth of cut, feed & cutting speed are optimized with considerations of surface roughness. Finally, relational analysis is used to analyze the process with multi performance characteristics. The analysis of variance was used to determine the significant turning parameter that affects the performance characteristics. Lastly, the conformation test reveals the effectiveness of Grey Analysis, used to obtain the optimal combination of turning parameters. In experimental work, the feed rate is observed as most significant machining parameter with a contribution of 64%. The optimal combination of machining parameters is found for set A1, B2, C3, D3 by Grey Relational Analysis. The conformation test confirms that optimal combination determined by Grey Relational grade really provides the optimized combination of cutting parameters.