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首页> 外文期刊>Journal of Materials Engineering and Performance >Material Selection and Grade Optimization Applied to Aluminum Matrix Composites
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Material Selection and Grade Optimization Applied to Aluminum Matrix Composites

机译：材料选择和等级优化应用于铝基复合材料

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摘要

A general model for the optimal use of materials based on structural optimization is derived. The competitiveness of materials is assessed with merit parameters. The competition between materials (material selection optimization) and the role of the composition and microstrncture for a given material {grade optimization) are analysed. The model is applied to aluminum matrix composites. The influence of matrix material, amount of reinforcement, and value of weight savings is studied. Mechanical properties are analyzed with the aid of published experimental data and available models. The Tsai-Halpin model is used to represent the variation of the elastic modulus with the amount of reinforcement. For yield strength the modified shear lag model is applied. It can satisfactorily describe experimental data and the variation with reinforcement for high-strength matrix alloys. For aluminum alloys of medium and lower strength, the observed increase is larger than the predicted one. This can be explained with the help of more recently developed micromechanical models that take into account the changes in microstructure in the matrix. For structural parts, large values of weight savings are usually necessary to make the particulate-reinforced composites competitive with carbon steel or their parent aluminum alloys. In other applications, combinations of properties are important to make the composites competitive.
机译：推导了基于结构优化的材料最佳使用的通用模型。材料的竞争力通过性能参数进行评估。分析了材料之间的竞争（材料选择优化）以及给定材料的成分和微结构的作用（等级优化）。该模型适用于铝基复合材料。研究了基体材料，补强量和重量减轻值的影响。借助公开的实验数据和可用模型来分析机械性能。 Tsai-Halpin模型用于表示弹性模量随增强量的变化。对于屈服强度，应用修正的剪切滞后模型。它可以令人满意地描述实验数据以及高强度基体合金的增强变化。对于中等强度和较低强度的铝合金，观察到的增加量大于预测的增加量。这可以借助最近开发的微机械模型来解释，该模型考虑了基质中微结构的变化。对于结构零件，通常通常需要大量减轻重量，以使颗粒增强复合材料与碳钢或其母材铝合金竞争。在其他应用中，性能组合对于提高复合材料的竞争力很重要。

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