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Related Experiment Video

Updated: Jul 26, 2025

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Cross Algorithm of Additive Manufacturing Micromixers.

Wenjie Niu1, Mengxue Yang1, Yu Liu1

  • 1School of Mechanical and Electronic Engineering, China University of Petroleum (Huadong), Qingdao, People's Republic of China.

3D Printing and Additive Manufacturing
|June 22, 2023
PubMed
Summary

This study introduces a computed tomography (CT) scan algorithm to precisely measure size deviations in additively manufactured micromixers, ensuring structural integrity and quality control for microfluidic devices.

Keywords:
additive manufacturingchannel cross section size detectioncomputed tomographycross-sectional contour extractionmicromixerreconstruction model

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Area of Science:

  • Microfluidics
  • Additive Manufacturing
  • Metrology

Background:

  • Additive manufacturing (AM) of micromixers faces challenges with structural integrity.
  • Accurate dimensional verification is crucial for micromixer performance.

Purpose of the Study:

  • To develop a non-destructive method for detecting size deviations in AM-generated micromixers.
  • To ensure the structural integrity and quality of micromixers.

Main Methods:

  • A cross-sectional contour extraction algorithm using computed tomography (CT) scan data.
  • Surface model reconstruction from CT data.
  • Extraction of the micromixer's central axis and generation of dividing planes.
  • Size inspection of extracted cross-sectional contours.

Main Results:

  • The algorithm successfully characterized size deviations in square wave and 3D circular micromixers.
  • Standard deviations for channel width and height were determined (e.g., 0.0271 and 0.0175 for square wave).
  • Uncertainty analysis showed measurement errors within -5.23% to +0.48% of the design size.

Conclusions:

  • The proposed CT-based algorithm effectively detects size deviations in AM micromixers.
  • The method meets measurement requirements for quality control in microfluidic device fabrication.