会议论文详细信息
3rd International Conference on Materials and Manufacturing Engineering 2018
Optimization in tribological behaviour of Al-nanoTiO2 powder metallurgy composites using response surface method
Balaji, D.^1 ; Vetrivel, M.^1 ; Ekambaram, M.^1 ; Sai Ganesh, B.^1 ; Sai Raghava Datta, M.^1 ; Manideep Kumar, S.^1 ; Sai Darshan, V.^1 ; Vignesh, G.^1
Department of Mechanical Engineering, SCSVMV, Enathur, Tamil Nadu
631 561, India^1
关键词: Coefficient of frictions;    Degree of accuracy;    Developed model;    Optimal conditions;    Response surface method;    Sliding velocities;    Specific wear rates;    Tribological behaviour;   
Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/390/1/012078/pdf
DOI  :  10.1088/1757-899X/390/1/012078
来源: IOP
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【 摘 要 】

The Al- nano TiO2 composite processed powder metallurgy and wear behaviour was experimentally investigated on aluminium with combined nano TiO2 weight percent reinforcement of 4%,7% and 10% at different sliding velocity of 1.5 m/s,2.0 m/s,2.5 m/s and different normal loads of 10N,30N,50N. The effect of specific wear rate and co efficient of friction optimised by response surface method. The results predicted by the developed model are concurring well within the measured values. The correlation co-efficient of model, regarding the specific wear rate and co efficient of friction, were about 0.96 and 0.94 respective with conform the degree of accuracy of the mathematical model. The optimal condition attain the minimum specific wear rate and co-efficient of friction at sliding velocity 2.04 m/s and Normal load 13.5 N with Al- TiO2 10% weight. The predicted value of specific wear rate 1.08e-7 and co efficient of friction 0.31 respectively.

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