Extracting powder bed features via electron optical images during electron beam powder bed fusion

IF 4.2 Q2 ENGINEERING, MANUFACTURING Additive manufacturing letters Pub Date : 2024-05-07 DOI:10.1016/j.addlet.2024.100220
Matthias Markl, Mohammad Reza Azadi Tinat, Timo Berger, Jakob Renner, Carolin Körner
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Abstract

Electron beam powder bed fusion offers the unique opportunity to observe the process by measuring scattered electrons on a metal detector. This technique is the state of the art in generating electron optical images of the build area after melting using single- or multi-detector setups. The images enable the detection of surface defects like porosity or material transport by reconstructing the surface topography. Internal defects such as layer-bonding defects cannot be identified. Many of these defects, particularly layer-bonding defects, often originate from an irregular distribution of the powder bed.

This work introduces an additional process step by recording an electron optical image after the distribution of the powder bed. Combining this with an electron optical image after melting the previous layer enables extraction of powder bed features such as the current powder bed height. The underlying method bases on the correlation of experimental measurements and numerical simulations of the intensity of the electron optical signal for different powder bed heights. With this approach, it is possible to identify irregular powder distributions, such as uncovered areas of previously molten material or locally varying powder bed heights. This information is crucial for online monitoring and real time process control. Exemplary, this opens the opportunity of healing the powder bed by an additional raking step.

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通过电子束粉末床融合过程中的电子光学图像提取粉末床特征
电子束粉末床熔化为通过测量金属探测器上的散射电子来观察熔化过程提供了独特的机会。这种技术是目前最先进的技术,可使用单个或多个探测器装置生成熔化后构建区域的电子光学图像。通过重建表面形貌,这些图像可以检测到孔隙或材料传输等表面缺陷。而内部缺陷(如层结合缺陷)则无法识别。其中许多缺陷,尤其是层结合缺陷,往往源于粉末床的不规则分布。这项工作引入了一个额外的工艺步骤,即在粉末床分布后记录电子光学图像。结合熔化上一层后的电子光学图像,可以提取粉末床的特征,如当前粉末床的高度。该方法的基础是对不同粉末床层高度的电子光学信号强度进行实验测量和数值模拟。通过这种方法,可以识别不规则的粉末分布,例如之前熔融材料的未覆盖区域或局部变化的粉末床层高度。这些信息对于在线监测和实时过程控制至关重要。例如,这就为通过额外的碾压步骤修复粉末床提供了机会。
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来源期刊
Additive manufacturing letters
Additive manufacturing letters Materials Science (General), Industrial and Manufacturing Engineering, Mechanics of Materials
CiteScore
3.70
自引率
0.00%
发文量
0
审稿时长
37 days
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