Scholarlink

<p>Powder Bed Fusion of Metals with Laser Beam (PBF-LB/M) is an additive manufacturing technology that creates parts layer by layer from metal powder. The scanning strategy, which defines the geometrical arrangement of laser scan vectors, influences the part quality. In this contribution, based on the literature, we identified efficiently assessable geometrical properties of scanning strategies as requirements for a&#xa0;high part quality, i.e. low porosity, high dimensional accuracy and low surface roughness. We used these requirements to assess stripes as a&#xa0;representative state-of-the-art linear strategy and chessboard as a&#xa0;representative state-of-the-art island partitioning strategy. We found that island and chessboard strategies do not fully fulfill the identified requirements. Thus, we introduced a&#xa0;novel strategy for the geometric arrangement of scan vectors, called Random Polygon Partition (RPP), which fulfills the identified requirements better than the strategies discussed in the literature. To test the performance of RPP, we printed test specimens and compared the achieved porosity, dimensional accuracy, and surface roughness with specimens created with stripes and chessboard. The results demonstrate the usability of RPP in creating high-quality test specimens. However, further comparative studies on RPP and state-of-the-art scanning strategies using more challenging geometries and alloys prone to cracking, porosity, and more are needed to assess the full potential of the new scanning strategy.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

New Island Partitioning to Improve Scanning Strategies in Powder Bed Fusion of Metals with Laser Beam

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年2月14日

查看全文
  • Dominick Holman,
  • Jonas Boseila,
  • Johannes Henrich Schleifenbaum

摘要

Powder Bed Fusion of Metals with Laser Beam (PBF-LB/M) is an additive manufacturing technology that creates parts layer by layer from metal powder. The scanning strategy, which defines the geometrical arrangement of laser scan vectors, influences the part quality. In this contribution, based on the literature, we identified efficiently assessable geometrical properties of scanning strategies as requirements for a high part quality, i.e. low porosity, high dimensional accuracy and low surface roughness. We used these requirements to assess stripes as a representative state-of-the-art linear strategy and chessboard as a representative state-of-the-art island partitioning strategy. We found that island and chessboard strategies do not fully fulfill the identified requirements. Thus, we introduced a novel strategy for the geometric arrangement of scan vectors, called Random Polygon Partition (RPP), which fulfills the identified requirements better than the strategies discussed in the literature. To test the performance of RPP, we printed test specimens and compared the achieved porosity, dimensional accuracy, and surface roughness with specimens created with stripes and chessboard. The results demonstrate the usability of RPP in creating high-quality test specimens. However, further comparative studies on RPP and state-of-the-art scanning strategies using more challenging geometries and alloys prone to cracking, porosity, and more are needed to assess the full potential of the new scanning strategy.