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Automated Multi-Scale Microstructure Heterogeneity Analysis of Selective Electron Beam Melted TiAl6V4 Components:english

机译:选择性电子束熔融Tial6V4组分的自动化多尺度微观结构异质性分析:英文

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摘要

In additive manufacturing (AM) the moving heat source and layer deposition gives rise to each volume of material receiving a complex thermal history. In addition, the machine control systems can vary the heat input as a function of the component geometry and process themes. Together, this can potentially cause both short and long range microstructure heterogeneity, which can potentially impact on the local mechanical properties of AM components. To systematically quantify the heterogeneity typically seen in the lamellar microstructures found in AM titanium parts, a tool has been developed that combine’s automatic high resolution SEM image mapping with batch image analysis, to enable efficient quantification over large areas at the required resolution. This method has been applied to parts produced in Ti6Al4V by selective electron beam melting using an Arcam machine. The method and test cases are described, where both long and short range heterogeneity have been identified in samples and correlated to the build parameters.
机译:在增材制造(AM)中,移动的热源和层沉积会导致接受复杂热历史的每种材料体积。此外,机器控制系统可以根据部件的几何形状和过程主题来改变热量输入。总之,这可能会导致短期和长期的微观结构异质性,从而可能影响AM组件的局部机械性能。为了系统地量化在AM钛零件中发现的层状微结构中通常存在的异质性,开发了一种工具,该工具将自动高分辨率SEM图像映射与批处理图像分析相结合,能够以所需的分辨率对大面积区域进行有效的量化。该方法已应用于使用Arcam机通过选择性电子束熔化在Ti6Al4V中生产的零件。描述了方法和测试用例,其中在样本中已识别出长距离和短距离异质性,并将其与构建参数相关联。

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