Characterization on Specific Wear Rate of Al Composite Reinforced with nano-Al2O3 Using Taguchi’s Technique

Md Jalal Uddin Rumi, Muhammad Muzibur Rahman
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Abstract

The aim of the investigation was to study and predict wear properties of nano Al2O3 reinforced Al composite fabricated by a two-step stir casting method. A pin-on-disc wear device was used to study the wear characteristics. An L9 Orthogonal array was selected as per Taguchi's method to analyze the results and ANOVA was used to examine the impact of applied force, sliding speed, and duration on specific wear rates with "smaller the better" as selection criteria. As per the investigation, applied load significantly influences the particular specific wear rate. Sliding duration is the second most important factor, whereas sliding speed is the factor that has the lowest impact on a given specific wear rate. We created a regression equation with R2 and adj R2 of 99.85% and 99.76% respectively that can estimate the specific wear rate of nano Al2O3 reinforced Al composite. An apple-to-apple comparison between experimental and projected values was built using two confirmation tests, and it revealed an inaccuracy of 2.1% and 6.6%, using a scanning electron microscope. The worn-out surface of the samples with the lowest and greatest specific wear rates was examined and identified with unique oxidation layers and cracks.
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用田口法表征纳米al2o3增强铝复合材料比磨损率
研究了两步搅拌铸造法制备的纳米Al2O3增强Al复合材料的磨损性能。采用针盘式磨损装置研究其磨损特性。根据田口的方法选择L9正交阵列对结果进行分析,并以“越小越好”为选择标准,采用方差分析(ANOVA)来检验施加的力、滑动速度和持续时间对特定磨损率的影响。根据研究,外加载荷显著影响比磨损率。滑动持续时间是第二个最重要的因素,而滑动速度是对给定特定磨损率影响最小的因素。建立了R2和adj R2分别为99.85%和99.76%的回归方程,可以估计纳米Al2O3增强Al复合材料的比磨损率。通过两次确认测试,建立了实验值和预测值之间的苹果-苹果比较,使用扫描电子显微镜,它显示了2.1%和6.6%的不准确性。对比磨损率最低和最大的试样的磨损表面进行了检测,发现其具有独特的氧化层和裂纹。
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来源期刊
Tribologia: Finnish Journal of Tribology
Tribologia: Finnish Journal of Tribology Materials Science-Surfaces, Coatings and Films
CiteScore
2.20
自引率
0.00%
发文量
4
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