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Design Example: Maintaining Level of an Embankment01:19

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Constructing a roadway embankment over uneven terrain requires precise leveling to ensure stability and proper drainage. Surveyors use a leveling instrument and staff to calculate ground elevations and determine the required fill material at each point along the embankment alignment.The process begins by positioning a leveling instrument near a benchmark with a known elevation. A backsight reading establishes the instrument height, which serves as a reference for subsequent measurements. A...
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Deposition Volume Compensation for Enhanced Shape Fidelity in Nested Printing.

Yunxia Chen1, Christopher Samouce2, Samuel E Shlafer1

  • 1Department of Mechanical, and Aerospace Engineering, University of Florida, Gainesville, FL 32611.

Journal of Manufacturing Science and Engineering
|October 20, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces a B-spline function method to improve shape accuracy in nested 3D printing. The technique effectively reduces printing errors in complex multilayered structures, enhancing dimensional accuracy and functionality.

Keywords:
B-spline functionadditive manufacturingbiomedical manufacturingcompensationshape fidelity

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Area of Science:

  • Additive Manufacturing
  • Biomedical Engineering
  • Computational Geometry

Background:

  • Nested printing enables complex multilayered structures, crucial for fabricating biological organ models.
  • Shape fidelity is critical for the accuracy, integrity, and functionality of 3D-printed parts.
  • Internal depositions in nested printing can compromise shape fidelity, an issue requiring effective mitigation.

Purpose of the Study:

  • To develop a B-spline function-based compensation method for addressing internal deposition volume effects in nested printing.
  • To enhance the shape fidelity of internally nested structures fabricated via nested printing.

Main Methods:

  • Utilized image-based segmentation and reconstruction to visualize printed nested structures.
  • Assessed shape fidelity by comparing reconstructed models to designed models using 3D structural similarity analysis.
  • Approximated distortion and compensation fields using a B-spline function-based method to generate a compensated 3D model.

Main Results:

  • Reduced mean printing error from 9.35% to 2.02% for the first enclosing layer of a canonical nested structure.
  • Significantly decreased mean printing error from 17.59% to 0.47% for the second enclosing layer.
  • Demonstrated a reduction in mean printing error from 10.67% to 1.40% for the white matter region of a 3D brain limbic system model.

Conclusions:

  • The B-spline function-based compensation method effectively mitigates distortions caused by internal deposition volumes.
  • This strategy substantially enhances shape fidelity in nested printing, leading to more accurate and functional 3D-printed parts.
  • The developed method shows significant promise for fabricating complex biological structures with high precision.