In this paper, a novel surface finishing method of cone annular beam laser re-melting (CALR) is proposed which aims at optimizing the side surface quality of AlSi10Mg parts produced by directed energy deposition. Meanwhile, a feature-based characterization method was conducted to realize the multiscale analysis of the topographic features. The results show that the developed CALR is a powerful tool which can greatly reduce the surface roughness: the final optimal aluminum alloy thin-walled parts with a roughness of 7.1 µm was obtained, which was 68.3% less than the original roughness of 22.4 µm without the implementation of CALR. The optimization mechanism reveals the roughness reduction was mainly attributed to the elimination of the stair-step effect, while the role of powder particle features was much less significant on roughness reduction of the overall surface. The CALR method together with the feature-based surface characterization provides an innovative solution for side surface quality optimization for laser additive manufacturing.

中文翻译：

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基于激光重熔的表面精加工方法，使用锥形环形光束进行增材制造

在本文中，提出了一种新的锥形环形光束激光重熔 (CALR) 表面精加工方法，旨在优化定向能量沉积生产的 AlSi10Mg 零件的侧表面质量。同时，采用基于特征的表征方法实现地形特征的多尺度分析。结果表明，开发的 CALR 是一个强大的工具，可以大大降低表面粗糙度：获得最终优化的铝合金薄壁零件，粗糙度为 7.1 µm，比原先的粗糙度 22.4 µm 减少了 68.3%。 CALR的实施。优化机制表明粗糙度降低主要归因于阶梯效应的消除，而粉末颗粒特征对整体表面粗糙度降低的影响要小得多。CALR 方法与基于特征的表面表征相结合，为激光增材制造的侧表面质量优化提供了创新的解决方案。