Optimization and fuzzy model for evaluation of mechanical and tribological properties of Al-CNT-Si3N4 based nano and hybrid composites

IF 4.2 Q2 NANOSCIENCE & NANOTECHNOLOGY
R. Ambigai, S. Prabhu
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引用次数: 0

Abstract

Silicon Nitride (Si3N4) has an extraordinary combination of high hardness, strength, toughness, and advanced properties like excellent wear and corrosion resistant, thermal shock resistance. Also, Carbon Nano Tube (CNT) has grasped interest among the researchers owing to its superior mechanical and thermal properties. Hence, the present study intents to fabricate Al matrix reinforced with Si3N4 nano particulate and Al matrix reinforced with CNT and Si3N4 particulate called hybrid composite via gravity casting route. The fabricated composites were tested for compression test, hardness and tribological test. The L9 orthogonal array was selected to conduct the tribological test in dry sliding conditions. Furthermore, SEM, an optical microscope, and image analysis tools were used to characterize the created composites. To determine the ideal operating conditions of the tribology test, analysis of variance was performed. The correlation between the input parameters and the wear rate, COF, was established using regression models. In order to predict the rate of wear with greater than 95% accuracy, a fuzzy model was developed based on the experimental data.
Al-CNT-Si3N4基纳米复合材料力学与摩擦学性能的优化与模糊模型评价
氮化硅(Si3N4)具有高硬度,高强度,高韧性和先进性能的非凡组合,如优异的耐磨,耐腐蚀,抗热震性。此外,碳纳米管(CNT)由于其优异的机械和热性能而引起了研究人员的兴趣。因此,本研究拟采用重力铸造的方法制备纳米氮化硅颗粒增强Al基和碳纳米管和氮化硅颗粒增强Al基,称为杂化复合材料。对制备的复合材料进行了压缩试验、硬度试验和摩擦学试验。选择L9正交阵列进行干滑动条件下的摩擦学试验。此外,利用扫描电子显微镜、光学显微镜和图像分析工具对所制备的复合材料进行了表征。为了确定摩擦学试验的理想操作条件,进行了方差分析。利用回归模型建立了输入参数与磨损率(COF)之间的相关性。为了以大于95%的准确率预测磨损率,在实验数据的基础上建立了模糊模型。
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来源期刊
CiteScore
6.00
自引率
1.70%
发文量
24
期刊介绍: Proceedings of the Institution of Mechanical Engineers Part N-Journal of Nanomaterials Nanoengineering and Nanosystems is a peer-reviewed scientific journal published since 2004 by SAGE Publications on behalf of the Institution of Mechanical Engineers. The journal focuses on research in the field of nanoengineering, nanoscience and nanotechnology and aims to publish high quality academic papers in this field. In addition, the journal is indexed in several reputable academic databases and abstracting services, including Scopus, Compendex, and CSA's Advanced Polymers Abstracts, Composites Industry Abstracts, and Earthquake Engineering Abstracts.
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