CNC Milling: A Surface Quality Optimization Approach - Couverture souple

Israr, Mohammad; Tiwari, Amit; Gangele, Anshul

 
9783330042865: CNC Milling: A Surface Quality Optimization Approach
Couverture souple
ISBN 10 : 3330042869 ISBN 13 : 9783330042865
Editeur : LAP LAMBERT Academic Publishing, 2017

Synopsis

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.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

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.

Biographie de l'auteur

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

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2017
Langue
anglais
ISBN 10 
3330042869
ISBN 13 
9783330042865
Reliure
Broché
Nombre de pages
72
Coordonnées du fabricant
non disponible
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