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Direct process feedback in extrusion-based 3D bioprinting.

Ashley A Armstrong1, Julian Norato2, Andrew G Alleyne1

  • 1Department of Mechanical Science and Engineering, University of Illinois at Urbana Champaign, United States of America.

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|December 12, 2019
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Summary
This summary is machine-generated.

This study introduces an iteration-to-iteration monitoring system for extrusion bioprinting, enhancing accuracy. By using laser scanning and error compensation, it improves spatial material placement in 3D printed constructs.

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Area of Science:

  • Bioprinting and Additive Manufacturing
  • Materials Science and Engineering
  • Robotics and Control Systems

Background:

  • Extrusion-based bioprinting faces limitations in direct process control, impacting accuracy and design complexity.
  • Defects in bioprinted constructs arise from unreliable machine axes motion for predicting material placement.
  • Precise fabrication necessitates advanced sensing of material extrusion during the bioprinting process.

Purpose of the Study:

  • To develop an iteration-to-iteration process monitoring system for direct control in extrusion bioprinting.
  • To enhance the accuracy and design complexity of 3D printed constructs through improved material placement.
  • To enable precise fabrication by integrating real-time sensing and error compensation.

Main Methods:

  • Integration of a non-contact laser displacement scanner for material placement measurement.
  • Development of a custom image processing algorithm to compare scanned data with the as-designed trajectory.
  • Implementation of an in situ process monitoring and error compensation technique for iterative printing.

Main Results:

  • Demonstrated improvement in spatial material placement accuracy through iterative printing.
  • Successful compensation for dimensional errors in fabricated constructs.
  • Validation of the system's performance on an experimental bioprinting platform.

Conclusions:

  • The developed system enables direct process control in the material deposition reference frame for extrusion bioprinting.
  • Iterative process monitoring and error compensation significantly reduce dimensional errors in printed constructs.
  • This approach advances the fabrication of complex and accurate bioprinted structures.