9783330042865 - CNC Milling: A Surface Quality Optimization Approach de Israr, Mohammad; Tiwari, Amit; Gangele, Anshul (6 resultados)

Paperback. Condición: Brand New. 01 edition. 72 pages. 8.66x5.91x0.17 inches. In Stock.

Taschenbuch. Condición: Neu. CNC Milling: A Surface Quality Optimization Approach | Mohammad Israr (u. a.) | Taschenbuch | 72 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9783330042865 | 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 -Prediction of surface roughness and dimensional inaccuracies is an essential prerequisite for any unmanned computer numeric controlled (CNC) machinery. This prediction technique is also important for optimization of machining process.Ii is observed that, using Taguchi approach, the quality of surface finish can be predicted within a reasonable degree of accuracy. Surface roughness is the critical factor which influences the quality of the machined parts. In this Book, an attempt has been made to optimize the cutting conditions to get predicted surface roughness in end milling of mild steel work piece. The experiment was designed using Taguchi method and 16 experimental runs were conducted for various combinations of cutting parameters according to L16' orthogonal array technique. The orthogonal array, signal to noise ratio and analysis of variance (ANOVA) were employed to study the performance characteristics at different conditions. In order to analyze the response of the system, experiments were carried out at various spindle speeds, depth of cut and feed rate. The results obtained by this research will be useful for various industries and and researchers working in this field. 72 pp. Englisch.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Israr MohammadDr Mohammad Israr is Working as a Principal at Dungarpur College of Engineering and Technology, Dungarpur,Rajasthan Amit Tiwari is working as a Assistant Professor in Mechanical Engineering Department at Suresh Gyan Vih.

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Prediction of surface roughness and dimensional inaccuracies is an essential prerequisite for any unmanned computer numeric controlled (CNC) machinery. This prediction technique is also important for optimization of machining process.Ii is observed that, using Taguchi approach, the quality of surface finish can be predicted within a reasonable degree of accuracy. Surface roughness is the critical factor which influences the quality of the machined parts. In this Book, an attempt has been made to optimize the cutting conditions to get predicted surface roughness in end milling of mild steel work piece. The experiment was designed using Taguchi method and 16 experimental runs were conducted for various combinations of cutting parameters according to L16' orthogonal array technique. The orthogonal array, signal to noise ratio and analysis of variance (ANOVA) were employed to study the performance characteristics at different conditions. In order to analyze the response of the system, experiments were carried out at various spindle speeds, depth of cut and feed rate. The results obtained by this research will be useful for various industries and and researchers working in this field.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 72 pp. Englisch.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Prediction of surface roughness and dimensional inaccuracies is an essential prerequisite for any unmanned computer numeric controlled (CNC) machinery. This prediction technique is also important for optimization of machining process.Ii is observed that, using Taguchi approach, the quality of surface finish can be predicted within a reasonable degree of accuracy. Surface roughness is the critical factor which influences the quality of the machined parts. In this Book, an attempt has been made to optimize the cutting conditions to get predicted surface roughness in end milling of mild steel work piece. The experiment was designed using Taguchi method and 16 experimental runs were conducted for various combinations of cutting parameters according to L16' orthogonal array technique. The orthogonal array, signal to noise ratio and analysis of variance (ANOVA) were employed to study the performance characteristics at different conditions. In order to analyze the response of the system, experiments were carried out at various spindle speeds, depth of cut and feed rate. The results obtained by this research will be useful for various industries and and researchers working in this field.