Multi objective prediction and optimization of control parameters in the milling of aluminium hybrid metal matrix composites using ANN and Taguchi -grey relational analysis

Ajith Arul Daniel, S.; Pugazhenthi, R.; Kumar, R.; Vijayananth, S.

doi:10.1016/j.dt.2019.01.001

Public

Multi objective prediction and optimization of control parameters in the milling of aluminium hybrid metal matrix composites using ANN and Taguchi -grey relational analysis

Published in Defence Technology • Jan 14, 2019

Authors:

S. Ajith Arul Daniel

R. Pugazhenthi

R. Kumar

Abstract

This study aims to optimize the input parameters such as mass fraction and particle size of SiC along with depth of cut, feed and cutting speed in the milling of Al5059/SiC/MoS2. The hybrid metal matrix composites are generally fabricated by reinforcing of different sizes (10, 20, 40 μm) of SiC with...

Subject

Taguchi methods

Aluminium

Materials science

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