
Process parameters optimization for producing AA6061/(Al2O3, Gr and Al2O3+Gr) surface composites by friction stir processing
Author(s) -
B. R. EL-Eraki,
A. R. El-Sissi,
S. M. Khafagi,
Hironori Nada
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/610/1/012006
Subject(s) - friction stir processing , materials science , ultimate tensile strength , composite material , graphite , microstructure , alloy , metal matrix composite , taguchi methods , reinforcement , composite number , elongation , response surface methodology , machine learning , computer science
The present study uses Al 2 O 3 , graphite and hybrid Al 2 O 3 and graphite nanoparticles as reinforcement particles within AA 6061 to produce a surface composite metal matrix using multiple-pass FSP. The aim of this work is to investigate the effects of multi-pass FSP, type of reinforcement particles and effects of T6 post-treatments on the microstructure and mechanical properties (hardness, ultimate tensile strength, and elongation) of friction stir processed (FSPed) AA6061 alloy. The results show that; all the composites produced using alumina particles in matrix material have the highest ultimate tensile strength (213 Mpa). Increase in hardness of stir zone for FSPed samples was more pronounced with post heat treatment and essentially insignificant for variation in a number of passes. The process parameters were optimized using a Taguchi method. The most influential parameter was a type of reinforcement particles. The analysis of variance (ANOVA) used to evaluate the percentage contribution for each parameter.