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Automated Tool‐Path Generation for Rapid Manufacturing of Additive Manufacturing Directed Energy Deposition Geometries
Steel Research International ( IF 1.9 ) Pub Date : 2020-04-24 , DOI: 10.1002/srin.202000017
Max Biegler 1 , Jiahan Wang 1 , Lukas Kaiser 1 , Michael Rethmeier 1, 2, 3
Affiliation  

In additive manufacturing (AM) directed energy deposition (DED), parts are built by welding layers of powder or wire feedstock onto a substrate with applications for steel powders in the fields of forging tools, spare parts, and structural components for various industries. For large and bulky parts, the choice of tool‐paths influences the build rate, the mechanical performance, and the distortions in a highly geometry‐dependent manner. With weld‐path lengths in the range of hundreds of meters, a reliable, automated tool‐path generation is essential for the usability of DED processes. This contribution presents automated tool‐path generation approaches and discusses the results for arbitrary geometries. So‐called “zig‐zag” and “contour‐parallel” processing strategies are investigated and the tool‐paths are automatically formatted into machine‐readable g‐code for experimental validation to build sample geometries. The results are discussed in regard to volume‐fill, microstructure, and porosity in dependence of the path planning according to photographs and metallographic cross‐sections.

中文翻译:

自动化工具路径生成,可快速制造增材制造指导的能量沉积几何形状

在增材制造(AM)定向能量沉积(DED)中,通过将粉末或焊丝原料层焊接到基材上来制造零件,在各种行业的锻造工具,备件和结构部件领域中应用钢粉。对于大型零件,刀具路径的选择会以高度依赖几何的方式影响制造速度,机械性能和变形。焊接路径长度在几百米的范围内,因此可靠的自动化工具路径生成对于DED过程的可用性至关重要。本文提供了自动的刀具路径生成方法,并讨论了任意几何形状的结果。对所谓的“曲折”和“轮廓平行”处理策略进行了研究,并将刀具路径自动格式化为机器可读的g代码,以进行实验验证以建立样本几何形状。根据照片和金相横截面,根据路径规划,讨论了有关体积填充,微观结构和孔隙率的结果。
更新日期:2020-04-24
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