Kim F H, Moylan S P, Garboczi E J, Slotwinski J A
National Institute of Standards and Technology, Intelligent Systems Division, Gaithersburg, MD, USA.
National Institute of Standards and Technology, Applied Chemicals and Materials Division, Boulder, CO, USA.
Addit Manuf. 2017;17. doi: 10.1016/j.addma.2017.06.011.
Pore structures of additively manufactured metal parts were investigated with X-ray Computed Tomography (XCT). Disks made of a cobalt-chrome alloy were produced using laser-based powder bed fusion (PBF) processes. The additive manufacturing processing parameters (scan speed and hatch spacing) were varied in order to have porosities varying from 0.1% to 70% so as to see the effects of processing parameters on the formation of pores and cracks. The XCT images directly show three-dimensional (3D) pore structure, along with cracks. Qualitative visualization is useful; however, quantitative results depend on accurately segmenting the XCT images. Methods of segmentation and image analysis were carefully developed based, as much as possible, on aspects of the images themselves. These enabled quantitative measures of porosity, including how porosity varies in and across the build direction, pore size distribution, how pore structure varies between parts with similar porosity levels but different processing parameters, pore shape, and particle size distribution of un-melted powder trapped in pores. These methods could possibly serve as the basis for standard segmentation and image analysis methods for metallic additively manufactured parts, enabling accurate and reliable defect detection and quantitative measures of pore structure, which are critical aspects of qualification and certification.
采用X射线计算机断层扫描(XCT)技术研究了增材制造金属零件的孔隙结构。使用基于激光的粉末床熔融(PBF)工艺制备了钴铬合金圆盘。改变增材制造工艺参数(扫描速度和扫描间距),使孔隙率在0.1%至70%之间变化,以观察工艺参数对孔隙和裂纹形成的影响。XCT图像直接显示了三维(3D)孔隙结构以及裂纹。定性可视化很有用;然而,定量结果取决于对XCT图像的准确分割。尽可能基于图像本身的特征,精心开发了分割和图像分析方法。这些方法能够对孔隙率进行定量测量,包括孔隙率在构建方向上以及跨构建方向的变化情况、孔径分布、具有相似孔隙率水平但工艺参数不同的零件之间孔隙结构的变化情况、孔隙形状以及困在孔隙中的未熔化粉末的粒度分布。这些方法有可能作为金属增材制造零件标准分割和图像分析方法的基础,实现准确可靠的缺陷检测以及对孔隙结构的定量测量,而这是鉴定和认证的关键方面。