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Optimizing laser powder bed fusion (LPBF) with advanced scan paths reduces laser downtime and potential defects. However, new strategies require careful design to manage porosity and part geometry interactions.

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Area of Science:

  • Additive Manufacturing
  • Materials Science
  • Mechanical Engineering

Background:

  • Traditional laser powder bed fusion (LPBF) hatching strategies, while ensuring microstructural homogeneity, suffer from frequent laser on/off switching and increased susceptibility to keyhole pores at scan vector endpoints.
  • These limitations can significantly slow down the fabrication process and compromise part integrity.

Purpose of the Study:

  • To investigate advanced scan strategies for LPBF that utilize longer scan paths to minimize laser switching and reduce end-of-track defect formation.
  • To develop and integrate an open-source tool for customizing LPBF G-code based on part geometry and advanced path configurations.

Main Methods:

  • Development of an open-source G-code tailoring tool integrated into a co-visualization platform.
  • Fabrication of specimens using four distinct scan path strategies, including a spiral pattern.
  • Analysis of pore distribution and path neighborhood effects using micro-computed tomography.

Main Results:

  • A spiral scan pattern reduced laser jump distance by 78% in the example geometry.
  • Alternative path patterns demonstrated a strong dependence of defect architecture on part geometry.
  • The investigated alternative path patterns led to an increase in overall porosity to 0.42%.

Conclusions:

  • Advanced scan strategies offer potential for optimizing LPBF by reducing laser downtime, but their effectiveness is highly dependent on part geometry.
  • Increased porosity observed with alternative paths necessitates the development of specific alleviation approaches.
  • Further research is required to balance the benefits of reduced laser switching with the control of defect formation in LPBF.