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The Effect of Porosity Size on the Tensile Properties of a Cast 319-T7 Aluminum Alloy

机译:孔隙尺寸对铸造319-T7铝合金拉伸性能的影响

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Worldwide, the use of cast aluminum for automotive components is increasing. This is driven by the industry need to meet current as well as future customer and legislative expectations (such as reduced weight and increased fuel economy) while maintaining or improving vehicle performance. Because of this, a need exists for detailed information on how the mechanical properties of aluminum alloys are affected by factors such as composition and processing. This is especially important with regard to the presence of microstructural discontinuities such as porosity, which can reduce the amount of material present that can carry an applied load. Thus, a study was conducted to compare the effect of porosity on the tensile properties of two castings; these castings were chosen such that the microstructures were equivalent except for porosity levels. The results show that tripling the average pore size yields a 19 percent decrease in the average ultimate tensile strength; a significant difference was not observed for the yield strength. The data for the elongation showed a small absolute decrease that is believed to be minor. It is concluded that large changes in pore size and in the amount of porosity had a small effect on the tensile properties. To establish an understanding of the statistics of tensile properties, a large number of samples were tested. Analysis found that a minimum of 16 samples are needed to establish a mean at a 98 percent confidence level. Further, conventional metallographic measurements were not found to accurately characterize the pore sizes that existed in the castings.
机译:在全球范围内,使用铸铝用于汽车组件正在增加。这是由行业的推动,需要满足当前的当前以及未来的客户和立法期望(如减轻重量和增加的燃料经济性),同时保持或改善车辆性能。因此,需要一种有关铝合金机械性能如何受到组成和加工等因素的影响的详细信息。这对于存在诸如孔隙率的微观结构不连续性的存在尤其重要,这可以减少可以携带施加载荷的材料的量。因此,进行了一种研究以比较孔隙率对两个铸件的拉伸性能的影响;选择这些铸件,使得除了孔隙率水平之外的微结构是等同的。结果表明,平均孔径的三倍平均抗拉强度降低了19%;屈服强度未观察到显着差异。伸长率的数据表明,被认为是未成年人的小绝对减少。结论是,孔径大的变化和孔隙率的量对拉伸性能略有效果。为了建立对拉伸性能统计的理解,测试了大量样品。分析发现,至少需要16个样品来建立98%的置信水平的平均值。此外,未发现常规的金相测量以精确地表征铸件中存在的孔径。

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