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An adaptive slicing algorithm based on model contour information.

Xingguo Han1,2,3, Xuan Liu1,3, Kunteng Lu2

  • 1Guangxi Key Laboratory of Special Engineering Equipment and Control, Guilin University of Aerospace Technology, Guilin, Guangxi, China.

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Summary
This summary is machine-generated.

This study introduces an adaptive hierarchical slicing algorithm for fused deposition additive manufacturing. The new method improves model feature recognition and balances printing accuracy and efficiency.

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Area of Science:

  • Additive Manufacturing
  • Computer-Aided Design
  • Geometric Modeling

Background:

  • Traditional slicing algorithms face challenges with large computational loads and inaccurate feature recognition.
  • Existing methods struggle with feature position stability during model processing.

Purpose of the Study:

  • To propose an adaptive hierarchical algorithm for fused deposition additive manufacturing (FDAM).
  • To enhance accuracy and efficiency in slicing Standard Triangulated Language (STL) models.
  • To address limitations in feature recognition and model positioning.

Main Methods:

  • Analyzing STL model geometric characteristics to divide models into non-significant, general, and complex feature parts based on contour intersection points.
  • Employing different slicing strategies for each part: normal vector angle for non-significant features, adjacent normal vector angles for general features, and Taubin vertex normal vector index for complex features.
  • Comparing the proposed algorithm with equal thickness and normal vector-based adaptive slicing algorithms using ship, vase, and dice models.

Main Results:

  • The proposed adaptive hierarchical algorithm demonstrated a better balance between printing accuracy and efficiency compared to existing methods.
  • Experimental validation using a six-degree-of-freedom (six-DOF) additive manufacturing (AM) device and roughness meter confirmed the algorithm's effectiveness.
  • Improved feature recognition and stable model feature positioning were observed.

Conclusions:

  • The adaptive hierarchical algorithm offers a significant improvement for slicing STL models in FDAM.
  • The method effectively optimizes the trade-off between printing speed and surface quality.
  • This approach provides a more robust solution for complex geometric features in additive manufacturing.