Multi objective optimization of process parameters of Al 6061-SiCp metal matrix composite in end milling-Hybrid GRA-PCA approach

In this study optimization scheme for minimising machining force and surface roughness in end milling of Al 6061 reinforced with SiCp has been presented. The input parameters considered are cutting speed, feed, depth of cut and weight fraction. The measured responses are force and surface roughness....

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Bibliographic Details
Published in:Materials today : proceedings 2020, Vol.26, p.696-700
Main Authors: Umamaheswarrao, P., Ravi Sankar, B., Nancharaiah, T.
Format: Article
Language:English
Subjects:
Al 6061-SiCp composite
GRA
Machining force
PCA
Surface roughness
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Summary:In this study optimization scheme for minimising machining force and surface roughness in end milling of Al 6061 reinforced with SiCp has been presented. The input parameters considered are cutting speed, feed, depth of cut and weight fraction. The measured responses are force and surface roughness. Experiments are designed and conducted based on Taguchi L25 orthogonal array. The parametric influences on responses are discussed through main effects plot and interaction effect plots. Further, integrated Grey Relational Analysis (GRA) and Principle Component Analysis (PCA) optimal scheme was performed. Results revealed that feed is the considerably influencing factor affecting the responses followed by depth of cut, weight fraction and speed. The optimum cutting parameters obtained are cutting speed 1000 rpm, feed rate 10 mm/rev, depth of cut 0.2 mm, and weight fraction 5%.
ISSN:2214-7853
2214-7853
DOI:10.1016/j.matpr.2019.12.407