Multi-Objective Optimization for Enhanced Surface Roughness and Microhardness of AA 6063/TiO2 Cast Aluminium Metal Matrix Nanocomposites Fabricated by Friction Stir Processing

Author(s):  
S. Laxmanaraju ◽  
Lingaraju Dumpala ◽  
R. Pavankumar
2019 ◽  
Vol 35 ◽  
pp. 935-940 ◽  
Author(s):  
Omolayo M. Ikumapayi ◽  
Esther T. Akinlabi ◽  
Surjya K. Pal ◽  
Jyotsna D. Majumdar

Symmetry ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 537
Author(s):  
Chandrashekar A. ◽  
B. V. Chaluvaraju ◽  
Asif Afzal ◽  
Denis A. Vinnik ◽  
Abdul Razak Kaladgi ◽  
...  

Nano aluminum oxide was prepared by the combustion method using aluminum nitrate as the oxidizer and urea as a fuel. Characterization of synthesized materials was performed using SEM (scanning electron microscope), powder XRD (X-ray diffraction), FTIR (Fourier transform infrared spectroscopy), and TEM (transmission electron microscope). Al-Mg/Al2O3 (2, 4, 6, and 8 wt%) metal matrix nanocomposites were prepared by liquid metallurgy route-vertex technique. The homogeneous dispersion of nano Al2O3 particles in Al-Mg/Al2O3 metal matrix nanocomposites (MMNCs) was revealed from the field emission SEM analysis. The reinforcement particles present in the matrix were analyzed through energy-dispersive X-ray spectroscopy method. The properties (corrosion and mechanical) of the fabricated composites were evaluated. The mechanical and corrosion properties of the prepared nanocomposites initially increased and then decreased with the addition of nano Al2O3 particles in Al-Mg Matrix. The studies show that, the presence of 6 wt% of nano Al2O3 particles in the matrix improved the properties of other combinations of nano Al2O3 in the Al-Mg matrix material. Further, the Al-Mg/Al2O3 (6 wt%) MMNCs are joined by friction stir welding and evaluated for microstructural, mechanical, and corrosion properties. Al-Mg/Al2O3 MMNCs may find applications in the marine field. The response surface method (RSM) was used for the optimization of tensile strength, Young’s modulus, and microhardness of the synthesized material which resulted in a 95% of statistical confidence level. Artificial neural network (ANN) analysis was also carried out which perfectly predicted these two properties. The ANN model is optimized to obtain 99.9% accurate predictions by changing the number of neurons in the hidden layer.


Friction Stir Processing (FSP) is a new approach for successful fabrication of Aluminium Metal Matrix Composites (AMCs) with required properties of Nitinol (NiTi) Shape Memory Alloys (SMA). This reinforcement agent is used for heightening the mechanical properties of aluminium alloy with Shape Memory Effect but such fabrication was not possible without defects such as critical intermetallic formation between reinforced particles and matrix. So we present a creative strategy to fabricate Al7075-T6/NiTi composites by FSP. It has been found that the groove filling method results in a more homogenous distribution compared to the multi-holes filling method. In this innovative strategy, we are going to use the groove filling method with a new FSP tool design for the linear distribution of reinforcement particles in grooves. This FSP tool will be used with the help of a Vertical Milling Machine.


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