Optimization of Cutting Parameters for S.R. during T.O. of A.SteelEN24

Ajay Kumar Agarwal

ISBN 10: 6202007729 / ISBN 13: 9786202007726

Published by LAP LAMBERT Academic Publishing, 2019

About this Item

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.

Seller Inventory # 117479247

Bibliographic Details

• Title: Optimization of Cutting Parameters for S.R. during T.O. of A.SteelEN24
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2019
• Language: English
• ISBN 10: 6202007729
• ISBN 13: 9786202007726
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 5D millimeters 220 millimeters width by 150 millimeters height by 5 millimeters depth
• Weight: 125 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

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.