Optimization of Cutting Parameters for Milling: Improve the Surface Finish Using Taguchi Technique - Couverture souple

Londhe, Prachi; Teli, S.N.; Jagtap, Madan

 
9786137332207: Optimization of Cutting Parameters for Milling: Improve the Surface Finish Using Taguchi Technique
Couverture souple
ISBN 10 : 6137332209 ISBN 13 : 9786137332207
Editeur : LAP LAMBERT Academic Publishing, 2018

Synopsis

Present work includes understanding the effects of various milling parameters such as spindle speed, feed rate, depth of cut and coolant flow on the surface roughness (Ra) of finished products. This book involves an experimental and theoretical analysis to predict Optimization of Surface Roughness in Milling using Taguchi’s technique. Surface roughness is very important due to it is one of the most specified customer requirements and the major indicator of surface quality on machined parts is surface roughness. The surface roughness is mainly a result of various controllable or uncontrollable process parameters and it is harder to attain and track than physical dimensions are. Taguchi’s technique is implemented to model the end milling process and predict the resulting surface roughness. Data is collected from CNC milling. Determination of the optimal cutting parameters (cutting conditions) such as the number of passes, depth of cut, speed, and feed is considered as a crucial stage of milling machining processes and especially in process planning. This is mainly due to the complex nature of optimization of machining operations.

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

Présentation de l'éditeur

Present work includes understanding the effects of various milling parameters such as spindle speed, feed rate, depth of cut and coolant flow on the surface roughness (Ra) of finished products. This book involves an experimental and theoretical analysis to predict Optimization of Surface Roughness in Milling using Taguchi’s technique. Surface roughness is very important due to it is one of the most specified customer requirements and the major indicator of surface quality on machined parts is surface roughness. The surface roughness is mainly a result of various controllable or uncontrollable process parameters and it is harder to attain and track than physical dimensions are. Taguchi’s technique is implemented to model the end milling process and predict the resulting surface roughness. Data is collected from CNC milling. Determination of the optimal cutting parameters (cutting conditions) such as the number of passes, depth of cut, speed, and feed is considered as a crucial stage of milling machining processes and especially in process planning. This is mainly due to the complex nature of optimization of machining operations.

Biographie de l'auteur

Mrs. Prachi Londe is working as faculty in Mech. Engg. in Polytechnic, Maharashtra. Dr. S.N.Teli is working as Professor, Mech. Engg., Bharati Vidyapeeth College of Engineering, Navi Mumbai. He has published 102 research articles & 16 books. Prof. Madan Jagtap is working as Associate Professor, Mech. Engg., Saraswati College of Engg., NaviMumbai.

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
2018
Langue
anglais
ISBN 10 
6137332209
ISBN 13 
9786137332207
Reliure
Broché
Nombre de pages
80
Coordonnées du fabricant
non disponible
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