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

by Agarwal, Ajay Kumar
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Agarwal, Ajay Kumar Optimization of Cutting Parameters for S.R. during T.O. of A.SteelEN24
Agarwal, Ajay Kumar - Optimization of Cutting Parameters for S.R. during T.O. of A.SteelEN24

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Description

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.

Contributors

Author:
Agarwal, Ajay Kumar

Further information

Biography Artist:
Agarwal, Ajay Kumar
Ajay Kumar Agarwal - He is pursuing Ph.D. He has received his B Tech., M.B.A & M.Tech. in ME, OB & HRD and ME from K.U.K, G.J.U, Hisar (Haryana) and M.B.U, Solan (H.P.) in 2005, 2008 & 2012. He plays a major role in organizing, managing & mentoring of ME students, IMRCP of MELabs, Workshops, Seminars, FDP, Conferences & Research Work of a ME Deptt
Language:
English
Number of Pages:
72
Media Type:
Softcover
Publisher:
LAP Lambert Academic Publishing

Master Data

Product Type:
Paperback book
Release date:
29 August 2019
Package Dimensions:
0.22 x 0.15 x 0.004 m; 0.154 kg
GTIN:
09786202007726
DUIN:
SQ07RQ98I0A
£33.74
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