Regression Modeling and Experimental Investigations on Ageing Behavior of Nano-Fly Ash Reinforced Al-10wt%Mg Alloy Matrix Composites

Q4 Materials Science
Srinivasa Prasad Katrenipadu, S. Gurugubelli
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引用次数: 0

Abstract

Nano-fly ash particles reinforced Al-10wt%Mg alloy matrix composites produced by stir-casting method were tested for their ageing response. Ageing studies were performed at 160 °C, 200 °C and 240 °C temperatures and a maximum peak hardness of 142 VHN was observed during ageing at 200 °C for the composite with 10 wt% nano fly ash reinforcement. This is due to rapid nucleation and growth of βI particles at this temperature. Experiments were designed for different compositions and different ageing temperatures on the basis of the Design of Experiments technique. The factorial design is considered to improve the reliability of results and to reduce the size of experimentation without loss of accuracy. A model to predict the ageing behaviour of the composites was developed with the terms of 5, 10 and 15% weight fraction of fly ash at 160 °C, 200 °C and 240 °C ageing temperatures. The developed regression model was validated by statistical software MINITAB-R17.1.0. It was found that the developed regression model could be effectively used to predict the ageing behavior at 95% confidence level.
纳米粉煤灰增强Al-10wt%镁合金基复合材料老化行为的回归模型及实验研究
采用搅拌铸造法制备了纳米粉煤灰增强Al-10wt%镁合金基复合材料,并对其时效性能进行了研究。在160°C、200°C和240°C的温度下进行时效研究,在200°C的温度下,添加10 wt%纳米粉煤灰增强的复合材料的最大峰值硬度为142 VHN。这是由于在这个温度下βI粒子的快速成核和生长。根据试验设计技术,设计了不同成分和不同时效温度下的试验。析因设计被认为是为了提高结果的可靠性,在不损失准确性的情况下减少实验的规模。在160°C、200°C和240°C的老化温度下,建立了粉煤灰质量分数为5%、10%和15%的复合材料老化行为预测模型。采用统计软件MINITAB-R17.1.0对所建立的回归模型进行验证。结果表明,所建立的回归模型在95%的置信水平上可以有效地预测老化行为。
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CiteScore
2.60
自引率
0.00%
发文量
22
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