Verwandte Artikel zu CNC Milling: A Surface Quality Optimization Approach
Inhaltsangabe
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.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
Reseña del editor
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.
Biografía del autor
Dr 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 Vihar University Jaipur Rajasthan Dr Anshul Gangele is working as a Professor & Head Department of M.E, Medi-Caps University, Indore
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
Neu kaufen
Diesen Artikel anzeigen
EUR 51,05
EUR 28,73 für den Versand von Vereinigtes Königreich nach USA
Versandziele, Kosten & DauerSuchergebnisse für CNC Milling: A Surface Quality Optimization Approach
Beispielbild für diese ISBN
CNC Milling: A Surface Quality Optimization Approach
Verlag:
LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330042869
ISBN 13: 9783330042865
Neu
Paperback
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
Paperback. Zustand: Brand New. 01 edition. 72 pages. 8.66x5.91x0.17 inches. In Stock. Artikel-Nr. 3330042869
Anzahl: 1 verfügbar
Foto des Verkäufers
CNC Milling: A Surface Quality Optimization Approach
Verlag:
LAP LAMBERT Academic Publishing Feb 2017, 2017
ISBN 10: 3330042869
ISBN 13: 9783330042865
Neu
Taschenbuch
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. 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.Books on Demand GmbH, Überseering 33, 22297 Hamburg 72 pp. Englisch. Artikel-Nr. 9783330042865
Anzahl: 2 verfügbar