Python tools for measuring filament defects in embedded 3D printing

In embedded 3D printing, a nozzle is embedded into a support bath and extrudes filaments or droplets into the bath. This repository includes Python code for analyzing and managing images and videos of the printing process during extrusion of single filaments. The zip file contains the state of the code when the associated paper was submitted. The link to the GitHub page goes to version 1.0.0, which is the same as the code attached here. From there, you can also access the current state of the code.Associated with: L. Friedrich, R. Gunther, J. Seppala, Suppression of filament defects in embedded 3D printing, 2022, submitted for publication

Data and Resources

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identifier ark:/88434/mds2-2564
issued 2022-04-25
landingPage https://data.nist.gov/od/id/mds2-2564
language {en}
license https://www.nist.gov/open/license
modified 2022-03-02 00:00:00
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publisher National Institute of Standards and Technology
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theme {"Mathematics and Statistics:Image and signal processing","Manufacturing:Process measurement and control",Manufacturing:Biomanufacturing,"Manufacturing:Additive manufacturing",Materials:Polymers}
Groups
  • AmeriGEOSS
  • National Provider
  • North America
Tags
  • 3d-printing
  • AmeriGEO
  • AmeriGEOSS
  • CKAN
  • GEO
  • GEOSS
  • National
  • North America
  • United States
  • additive-manufacturing
  • computer-vision
  • digital-image-analysis
  • opencv
  • python
isopen False
license_id other-license-specified
license_title other-license-specified
maintainer Jonathan Seppala
maintainer_email jonathan.seppala@nist.gov
metadata_created 2025-09-24T11:46:37.364919
metadata_modified 2025-09-24T11:46:37.364928
notes In embedded 3D printing, a nozzle is embedded into a support bath and extrudes filaments or droplets into the bath. This repository includes Python code for analyzing and managing images and videos of the printing process during extrusion of single filaments. The zip file contains the state of the code when the associated paper was submitted. The link to the GitHub page goes to version 1.0.0, which is the same as the code attached here. From there, you can also access the current state of the code.Associated with: L. Friedrich, R. Gunther, J. Seppala, Suppression of filament defects in embedded 3D printing, 2022, submitted for publication
num_resources 2
num_tags 14
title Python tools for measuring filament defects in embedded 3D printing