Wear behavior of AA 5083/SiC nano-particle metal matrix composite: Statistical analysis

2017 5th International Conference on Mechanical Engineering, Materials Science and Civil Engineering

机械制造;材料科学;土木建筑工程

Idrisi, Amir Hussain^1 ; Mourad, Abdel-Hamid Ismail^1 ; Thekkuden, Dinu Thomas^1 ; Christy, John Victor^1

Department of Mechanical Engineering, UAE University, PO. Box 15551, Al-Ain, United Arab Emirates^1

关键词: 5083 Al alloy;    Aluminum matrix composites;    Nano-particle metal;    Nano-reinforcements;    SiC nanoparticles;    Statistical approach;    Wear characteristics;    Wear test;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/324/1/012087/pdf
DOI  :  10.1088/1757-899X/324/1/012087

来源: IOP

【 摘 要 】

This paper reports study on statistical analysis of the wear characteristics of AA5083/SiC nanocomposite. The aluminum matrix composites with different wt % (0%, 1% and 2%) of SiC nanoparticles were fabricated by using stir casting route. The developed composites were used in the manufacturing of spur gears on which the study was conducted. A specially designed test rig was used in testing the wear performance of the gears. The wear was investigated under different conditions of applied load (10N, 20N, and 30N) and operation time (30 mins, 60 mins, 90 mins, and 120mins). The analysis carried out at room temperature under constant speed of 1450 rpm. The wear parameters were optimized by using Taguchi's method. During this statistical approach, L27 Orthogonal array was selected for the analysis of output. Furthermore, analysis of variance (ANOVA) was used to investigate the influence of applied load, operation time and SiC wt. % on wear behaviour. The wear resistance was analyzed by selecting "smaller is better" characteristics as the objective of the model. From this research, it is observed that experiment time and SiC wt % have the most significant effect on the wear performance followed by the applied load.