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CSME 2020/12
Volume 41 No.6 : 827-836
 
Dry Sliding Tribological Studies of ZA-27/Al₂O₃ Metal Matrix Nanocomposites by using Response Surface Methodology

Shivakumr N a, Vasu V b and Narasaiah N c
aDepartment of Mechanical Engineering, National Madanapalle Institute of Science & Technology, Madanapalle, Andhra Pradesh 517325, India.
bDepartment of Mechanical Engineering, National Institute of Technology Warangal, Warangal, Telangana 506004, India.
cDepartment of Metallurgical and Materials Engineering, National Institute of Technology Warangal, Warangal, Telangana 506004, India.


Abstract: Alumina nanoparticles reinforced with ZA-27 matrix material are having considerable attention due to its improved wear resistance and high strength. ZA-27 alloy reinforced with various weight percentages of alumina nanoparticles for the fabrication of nanocomposites by using ultrasonic assisted stir casting process. Tribological behavior of ZA-27/Al₂O₃ nanocomposites was examined by using Pin on disc friction and wear testing machine. Response surface methodology (RSM) is used to evaluate the influencing parameters on nanocomposites according to the experimental plan by using design of experiments. The significant effect of various factors such as reinforcement content, sliding distance, applied load and sliding speed were investigated by using ANOVA. Tribological behavior such as dry sliding wear and friction coefficient of nanocomposites decreases with increase in filler content. The reinforcement content is most significant influencing factor for the tribological properties of ZA-27/Al₂O₃ nanocomposites. The interaction between the distance – speed and reinforcement content – speed also influences the wear rate of the nanocomposites. The mathematical equations were developed for wear rate and coefficient of friction of ZA-27/Al₂O₃ nanocomposites with the help of RSM. The microstructures of the wear surfaces were studied by using Scanning electron microscope (SEM).

Keywords:  ZA-27 alloy, Al₂O₃ nanoparticles, wear rate, RSM, SEM.

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© 2020  CSME , ISSN 0257-9731 





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