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Characterization and Analysis of Porosities in High Pressure Die Cast Aluminum by Using Metallography X-Ray Radiography and Micro-Computed Tomography

机译：使用金相X射线射线造影和微计算断层扫描的高压模铸铝中孔隙孔隙的特征与分析

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摘要

Mechanical performance of cast aluminum alloys is strongly affected by the defects formed during solidification. For example, fractography studies of the fatigue specimens have shown that fatigue failure in aluminum castings containing defects is almost always initiated from defects, among which pores are most detrimental. However, elimination of these pores is neither always economically nor technically possible. This work characterizes defects in high pressure die cast aluminum alloy as an illustrative material, but the methods used can be applicable to other types of castings and defects. The defects were evaluated using metallography as well as micro-computed tomography techniques. The variability of defects between the specimens of two sizes as well as different porosity levels are studied statistically. The distributions of defects based on location within the specimens are also analyzed. Moreover, the maximum defect size within the specimens are estimated using extreme value statistics, which can be used as an input to fatigue life prediction models. Extreme value statistics is applied on both 2D and 3D defect data. The accuracy of each approach is verified by comparing the estimated maximum defect size within the specimens with the maximum observed defects on fracture surfaces of fatigue specimens.
机译：铸造铝合金的机械性能受固化过程中形成的缺陷的强烈影响。例如，疲劳样品的Fractography研究表明，含有缺陷的铝铸件中的疲劳失效几乎总是从缺陷开始，其中孔隙最有害。然而，消除这些毛孔既不始终在经济上也不是技术上。这项工作表征了高压模铸铝合金中的缺陷作为说明性材料，但使用的方法可适用于其他类型的铸件和缺陷。使用金属谱和微计算机断层扫描技术评估缺陷。在统计上研究了两种尺寸的标本和不同孔隙率水平之间的缺陷的可变性。还分析了基于样本内的位置的缺陷分布。此外，使用极值统计估计样本内的最大缺陷尺寸，其可以用作疲劳寿命预测模型的输入。极值统计在2D和3D缺陷数据上应用。通过将试样内的估计的最大缺陷尺寸与疲劳样本的断裂表面上的最大观察到的缺陷进行比较，通过比较标本内的估计的最大缺陷尺寸来验证每种方法的准确性。

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