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Multi-objective optimization of surface roughness and cutting forces in high-speed turning of Inconel 718 using Taguchi grey relational analysis (TGRA)

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Title Multi-objective optimization of surface roughness and cutting forces in high-speed turning of Inconel 718 using Taguchi grey relational analysis (TGRA)
 
Creator PAWADE, RS
JOSHI, SS
 
Subject MULTIPLE PERFORMANCE-CHARACTERISTICS
PROCESS PARAMETERS
ORTHOGONAL ARRAY
TOOLS
ALLOYS
DESIGN
High-speed turning
Cutting forces
Surface roughness
Taguchi grey relational analysis
Weighted GRG
Optimization
 
Description In this paper, a new effective approach, Taguchi grey relational analysis has been applied to experimental results in order to optimize the high-speed turning of Inconel 718 with consideration to multiple performance measures. The approach combines the orthogonal array design of experiments with grey relational analysis. Grey relational theory is adopted to determine the best process parameters that give lower magnitude of cutting forces as well as surface roughness. The response table and the grey relational grade graph for each level of the machining parameters have been established. The parameters: cutting speed, 475 m/min; feed rate, 0.10 mm/rev; depth of cut, 0.50 mm; and CW2 edge geometry have highest grey relational grade and therefore are the optimum parameter values producing better turning performance in terms of cutting forces and surface roughness. Depth of cut shows statistical significance on overall turning performance at 95% confidence interval.
 
Publisher SPRINGER LONDON LTD
 
Date 2012-06-26T05:11:50Z
2012-06-26T05:11:50Z
2011
 
Type Article
 
Identifier INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY,56(1-4)47-62
0268-3768
http://dx.doi.org/10.1007/s00170-011-3183-z
http://dspace.library.iitb.ac.in/jspui/handle/100/13936
 
Language English