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Oriented to Multi-Branched Structure Unsupported 3D Printing Method Research.

Qingxi Hu1,2, Die Feng1, Haiguang Zhang1,2

  • 1Rapid Manufacturing Engineering Center, Mechatronic Engineering and Automation of Shanghai University, Shanghai 200444, China.

Materials (Basel, Switzerland)
|May 3, 2020
PubMed
Summary

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This study introduces a novel five-axis additive manufacturing (AM) method for unsupported 3D printing of complex, multi-branched models. This innovative approach eliminates the need for support structures, saving materials and time.

Area of Science:

  • Additive Manufacturing
  • Mechanical Engineering
  • Computer-Aided Design

Background:

  • Traditional three-axis additive manufacturing (AM) requires support structures for multi-branched models, increasing material usage and post-processing time.
  • Developing methods to eliminate support structures is crucial for improving the efficiency and sustainability of AM processes.

Purpose of the Study:

  • To propose and verify a non-directional unsupported 3D printing method for five-axis AM platforms.
  • To enable the fabrication of complex, multi-branched models without the need for external support structures.

Main Methods:

  • Utilized K-means clustering algorithm for coarse model partitioning.
  • Employed a local dynamic search adjustment algorithm to determine fine decomposition via separating planes based on manufacturing constraints.
Keywords:
five-axismodel decompositionmulti-branched structurenon-directional unsupported 3D printing

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  • Divided multi-branched structures into simple subparts for self-supporting fabrication.

    • Main Results:

    • Successfully demonstrated unsupported printing of branch-models using the proposed five-axis AM method.
    • Achieved material savings of 18.72–20.60% compared to conventional 3D printing.
    • Reduced printing time by 20.60–23.33% compared to conventional 3D printing.

    Conclusions:

    • The non-directional unsupported 3D printing method is effective for fabricating complex multi-branched models.
    • This advanced AM technique offers significant advantages in material and time efficiency over traditional methods.