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首页> 外文期刊>Journal of Solid Waste Technology and Management >DEVELOPMENT AND ANALYSIS OF WEAR RESISTANCE MODEL FOR COMPOSITES OF ALUMINIUM REINFORCED WITH RED MUD
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DEVELOPMENT AND ANALYSIS OF WEAR RESISTANCE MODEL FOR COMPOSITES OF ALUMINIUM REINFORCED WITH RED MUD

机译：红泥泥增强铝复合材料耐磨性模型的建立与分析

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The expeditious advancement in the past decades has resulted in the need for new multifunctional materials that possess characteristics not obtainable from any individual materials. Recent studies reveal that metal matrix composites reinforced by SiC and Al_2O_3 particles, whiskers and soft fibers, have significantly better characteristics such as super wear resistance, high strength and low density than unreinforced materials. However, prohibitive costs and stability of properties pose challenge for the researches in the process of development of composites. To address these issues, composites are being developed using waste materials as reinforcement for effective utilization of industrial wastes. The present investigation aims to evaluate the wear characteristics of Al alloy composites reinforced with red mud in different volume percentage using Taguchi method. A pin-on-disc wear testing machine was used to evaluate the wear rate. In order to identify important factors that accelerate wear rate, an experimental design based on L_(27) orthogonal array is used. The response is transformed to signal to noise (S/N) ratio for smaller is better condition and analysis of variance is employed to interpret the results. The experimental results show that applied load, sliding distance and interaction between applied load and sliding distance have major contribution of wear rate. But few other interactions like reinforcement size and applied load and reinforcement size and sliding distance does not exhibit any significant effect on wear rate. Finally, a predictive model for wear rate of composites is developed. The confirmation experiment results in a good agreement between the predicted and actual wear resistance.
机译：在过去的几十年中，快速的发展导致了对新型多功能材料的需求，这些材料具有无法从任何一种单独的材料中获得的特性。最近的研究表明，与未增强材料相比，由SiC和Al_2O_3颗粒，晶须和软纤维增强的金属基复合材料具有明显更好的特性，例如超级耐磨性，高强度和低密度。然而，高昂的成本和性能的稳定性对复合材料开发过程中的研究提出了挑战。为了解决这些问题，正在开发使用废料作为增强材料来有效利用工业废料的复合材料。本研究旨在通过田口法评估不同体积百分比的赤泥增强铝合金复合材料的磨损特性。使用销钉盘式磨损测试机评估磨损率。为了确定加速磨损速率的重要因素，使用了基于L_（27）正交阵列的实验设计。在更好的条件下，将响应转换为信噪比（S / N），并使用方差分析来解释结果。实验结果表明，外加载荷，滑动距离以及外加载荷与滑动距离之间的相互作用对磨损率的影响最大。但是，很少有其他相互作用（如钢筋尺寸和施加的载荷，钢筋尺寸和滑动距离）对磨损率没有显着影响。最后，建立了复合材料磨损率的预测模型。确认实验可以使预测的耐磨性与实际的耐磨性达到良好的一致性。

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