Data provided by National Institute of Standards and Technology
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
About this Dataset
Updated: 2024-02-22
Metadata Last Updated:
2022-03-02 00:00:00
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| Title | Python tools for measuring filament defects in embedded 3D printing |
|---|---|
| Description | 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 |
| Modified | 2022-03-02 00:00:00 |
| Publisher Name | National Institute of Standards and Technology |
| Contact | mailto:leanne.friedrich@nist.gov |
| Keywords | python , digital image analysis , computer vision , 3D printing , additive manufacturing , openCV |
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