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首页> 外文期刊>International journal of surface engineering and interdisciplinary materials science >Regression Modeling and Experimental Investigations on Ageing Behavior of Nano-Fly Ash Reinforced Al- 10wt%Mg Alloy Matrix Composites
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Regression Modeling and Experimental Investigations on Ageing Behavior of Nano-Fly Ash Reinforced Al- 10wt%Mg Alloy Matrix Composites

机译：粉煤灰增强Al-10wt％Mg合金基复合材料的时效行为回归建模与实验研究

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摘要

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.
机译：测试了通过搅拌浇铸法制备的纳米粉煤灰颗粒增强的Al-10wt％Mg合金基复合材料的时效响应。在160°C，200°C和240°C的温度下进行了老化研究，对于含10 wt％纳米粉煤灰增强材料的复合材料，在200°C老化期间观察到最大峰值硬度为142 VHN。这是由于在此温度下βI颗粒快速成核和生长。在实验设计技术的基础上，针对不同的成分和不同的老化温度设计了实验。析因设计被认为可以提高结果的可靠性，并在不损失准确性的情况下减小实验规模。开发了一种预测复合材料老化行为的模型，其中粉煤灰在160°C，200°C和240°C的老化温度下分别占重量分数的5、10和15％。通过统计软件MINITAB-R17.1.0验证了开发的回归模型。结果发现，开发的回归模型可以有效地用于预测95％置信水平下的老化行为。

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