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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
Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| accrualPeriodicity | irregular |
| bureauCode |
[
"006:55"
]
|
| contactPoint |
{
"fn": "Jonathan Seppala",
"hasEmail": "mailto:jonathan.seppala@nist.gov"
}
|
| 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 |
| distribution |
[
{
"title": "GitHub page for version 1.0.1",
"accessURL": "https://github.com/usnistgov/embedded3DPvids/releases/tag/v1.0.1",
"description": "GitHub page for version 1.0.1"
},
{
"title": "Embedded3DPvids-1.0.0",
"format": "zip file",
"mediaType": "application/x-zip-compressed",
"description": "Public version 1.0.0 of the code",
"downloadURL": "https://data.nist.gov/od/ds/mds2-2564/embedded3DPvids-1.0.0.zip"
}
]
|
| identifier | ark:/88434/mds2-2564 |
| issued | 2022-04-25 |
| keyword |
[
"3D printing",
"additive manufacturing",
"computer vision",
"digital image analysis",
"openCV",
"python"
]
|
| 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 |
| programCode |
[
"006:045"
]
|
| publisher |
{
"name": "National Institute of Standards and Technology",
"@type": "org:Organization"
}
|
| theme |
[
"Manufacturing:Additive manufacturing",
"Manufacturing:Biomanufacturing",
"Manufacturing:Process measurement and control",
"Materials:Polymers",
"Mathematics and Statistics:Image and signal processing"
]
|
| title | Python tools for measuring filament defects in embedded 3D printing |
