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Dimensionless Analysis for Investigating the Quality Characteristics of Aluminium Matrix Composites Prepared through Fused Deposition Modelling Assisted Investment Casting

机译:熔积建模辅助熔模铸造制备的铝基复合材料质量特性的无因次分析

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摘要

The aluminium matrix composites (AMCs) have become a tough competitor for various categories of metallic alloys, especially ferrous materials, owing to their tremendous servicing in the diversified application. In this work, additional efforts have been made to formulate a mathematical model, by using dimensionless analysis, able to predict the mechanical characteristics of the AMCs that have already been optimized and characterized by the authors. Here, the experimental and statistical data obtained from the Taguchi L18 orthogonal array and analysis of variance (ANOVA) have been used. They permit collection of the output responses and allow the identification of significant process parameters, respectively, which thereafter were used to design the mathematical model. Second order polynomial equations have been obtained from the specific output response and the relevant input parameter were incorporated with the highest level of contribution. The obtained quadratic equations indicate the regression values (R2) equal to unity, hence, proving the performances of the fit. The results demonstrate that the developed mathematical models present very high accuracy for predicting the output responses.
机译:由于铝基复合材料(AMC)在多样化应用中提供了广泛的服务,因此它们已成为各种金属合金(尤其是黑色金属材料)的强大竞争者。在这项工作中,通过使用无量纲分析,人们付出了更多的努力来建立数学模型,从而能够预测已经由作者优化和表征的AMC的机械特性。在这里,已使用从Taguchi L18正交阵列获得的实验和统计数据以及方差分析(ANOVA)。它们允许分别收集输出响应并允许识别重要的过程参数,然后将这些参数用于设计数学模型。从特定的输出响应中获得了二阶多项式方程,并以最高的贡献率合并了相关的输入参数。所得到的二次方程表示回归值(R 2 )等于1,因此证明了拟合的性能。结果表明,所开发的数学模型为预测输出响应提供了非常高的准确性。

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