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QUANTITATIVE XCT EVALUATION OF POROSITY IN AN ALUMINUM ALLOY CASTING

机译:XCT对铝合金铸件孔隙率的定量评价。

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摘要

Traditional destructive sectioning and NDE techniques including radiography and ultrasound provide insufficient 3D qualitative and quantitative porosity diagnostics, characterization, and visualization capabilities. Improved methods are required for efficiently assessing the detailed nature, extent and distribution of porosity in research, product development, prototyping and first-items manufactured inspection stages of engineering materials and structures. One quite powerful and recent NDE modality that has been demonstrated to be most advantageous in the 3D diagnostics of volumetric porosity is industrial x-ray computed tomography, XCT. With this non-invasive approach, very large numbers of irregular shaped pores can be individually characterized according to voxel or object spatial coordinates, surface area, pore volume, aspect ratio, and size distributions. In addition, virtual transparency and pseudo-color image processing techniques permit the 3D visualization of all pores in-siru within the object casting. Examples of such porosity characterization and the cognitive visualization of same using the XCT modality in a representative aluminum casting are presented and discussed.
机译:传统的破坏性切片和NDE技术(包括放射线照相和超声检查)无法提供足够的3D定性和定量孔隙率诊断,表征和可视化功能。需要改进的方法来有效地评估工程材料和结构的研究,产品开发,原型设计和第一项目制造检验阶段中孔隙的详细性质,程度和分布。已被证明在体积孔隙率的3D诊断中最有利的一种功能非常强大且最新的NDE模式是工业X射线计算机断层扫描XCT。使用这种非侵入性方法,可以根据体素或对象空间坐标,表面积,孔体积,长宽比和大小分布分别表征非常多的不规则形状的孔。此外,虚拟透明性和伪彩色图像处理技术可对物体铸件内的所有细孔进行3D可视化。提出并讨论了在代表性的铝铸件中使用XCT模态进行此类孔隙率表征及其认知可视化的示例。

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