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An Interactive Web-Based Platform for Support Generation and Optimisation for Metal Laser Powder Bed Fusion.

Antonios Dimopoulos1, Giorgos Chryssinas2, Dimitra Mavroforaki2

  • 1Department of Mechanical and Aerospace Engineering, Brunel University London, Uxbridge UB8 3PH, UK.

Materials (Basel, Switzerland)
|April 13, 2024
PubMed
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This study introduces a free, web-based platform for generating support structures in metal laser powder bed fusion (PBF-LB/M) printing. The tool helps optimize designs, reduce material waste, and prevent printing defects for improved additive manufacturing outcomes.

Area of Science:

  • Additive Manufacturing
  • Materials Science

Background:

  • Powder Bed Fusion-Laser Beam (PBF-LB) is crucial for complex, lightweight components in aerospace, automotive, and healthcare.
  • Challenges in PBF-LB include part defects, high costs, and critical support structure design.
  • Inadequate supports lead to part failure, while excessive supports increase material use and post-processing time.

Purpose of the Study:

  • To address the need for advanced software in PBF-LB/M for support structure generation and thermomechanical behavior prediction.
  • To minimize printing defects, reduce material consumption, shorten printing times, and enhance print quality.
  • To introduce a user-friendly, web-based platform for optimizing support structures in metal additive manufacturing.

Main Methods:

  • Development of a web-based platform for additive manufacturing.
Keywords:
PySLM libraryadditive manufacturingmetal laser powder bed fusionmetal support structurespython programmingsupport generationsupport optimisationweb platform

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  • Integration of the PySLM library for generating block-type support structures with diamond perforations.
  • Implementation of a user-friendly interface for importing 3D parts and generating supports.

    • Main Results:

    • A functional web-based platform (v0.6) for PBF-LB/M support generation is introduced.
    • The platform allows users to import 3D models and generate optimized support structures.
    • The tool is accessible online, interactive, and available at no cost.

    Conclusions:

    • The developed platform offers a valuable solution for optimizing support structures in PBF-LB/M.
    • It aids in mitigating common printing issues, reducing costs, and improving the efficiency of metal additive manufacturing.
    • The accessibility and user-friendliness of the platform promote wider adoption and further development in the field.