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. Using OpenFOAM, we simulated the extrusion of filaments and droplets into a moving bath. OpenFOAM is an open source computational fluid dynamics solver. This repository contains the following Python tools: - Tools for generating input files for OpenFOAM v1912 or OpenFOAM v8 tailored to a conical or cylindrical nozzle extruding a filament into a static support bath. - Tools for monitoring the status of OpenFOAM simulations and aborting them if they are too slow. - Tools for moving output files between storage locations. (For example, it can automatically move all files to a server, but only necessary files to your hard drive) - Tools for generating images and tables from the 3D time series. - Tools for compiling images into videos. - Tools for analyzing, summarizing, and plotting data.This version is associated with the paper:Friedrich, L.M., Gunther, R.T. & Seppala, J.E. (2022) Simulated stress mitigation strategies in embedded 3D bioprinting, submitted for publication
About this Dataset
Updated: 2026-06-19
Metadata Last Updated:
2022-04-06 00:00:00
Date Created:
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| Title | Python tools for OpenFOAM simulations of filament shapes in embedded 3D printing, Version 1.1.0 |
|---|---|
| Description | In embedded 3D printing, a nozzle is embedded into a support bath and extrudes filaments or droplets into the bath. Using OpenFOAM, we simulated the extrusion of filaments and droplets into a moving bath. OpenFOAM is an open source computational fluid dynamics solver. This repository contains the following Python tools: - Tools for generating input files for OpenFOAM v1912 or OpenFOAM v8 tailored to a conical or cylindrical nozzle extruding a filament into a static support bath. - Tools for monitoring the status of OpenFOAM simulations and aborting them if they are too slow. - Tools for moving output files between storage locations. (For example, it can automatically move all files to a server, but only necessary files to your hard drive) - Tools for generating images and tables from the 3D time series. - Tools for compiling images into videos. - Tools for analyzing, summarizing, and plotting data.This version is associated with the paper:Friedrich, L.M., Gunther, R.T. & Seppala, J.E. (2022) Simulated stress mitigation strategies in embedded 3D bioprinting, submitted for publication |
| Modified | 2022-04-06 00:00:00 |
| Publisher Name | National Institute of Standards and Technology |
| Contact | mailto:[email protected] |
| Keywords | 3d printing , additive manufacturing , polymer , embedded ink writing , embedded 3D printing , bioprinting , rheology , computational fluid dynamics , OpenFOAM |
{
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"hasEmail": "mailto:[email protected]",
"fn": "Jonathan Seppala"
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"landingPage": "https:\/\/data.nist.gov\/od\/id\/mds2-2602",
"title": "Python tools for OpenFOAM simulations of filament shapes in embedded 3D printing, Version 1.1.0",
"description": "In embedded 3D printing, a nozzle is embedded into a support bath and extrudes filaments or droplets into the bath. Using OpenFOAM, we simulated the extrusion of filaments and droplets into a moving bath. OpenFOAM is an open source computational fluid dynamics solver. This repository contains the following Python tools: - Tools for generating input files for OpenFOAM v1912 or OpenFOAM v8 tailored to a conical or cylindrical nozzle extruding a filament into a static support bath. - Tools for monitoring the status of OpenFOAM simulations and aborting them if they are too slow. - Tools for moving output files between storage locations. (For example, it can automatically move all files to a server, but only necessary files to your hard drive) - Tools for generating images and tables from the 3D time series. - Tools for compiling images into videos. - Tools for analyzing, summarizing, and plotting data.This version is associated with the paper:Friedrich, L.M., Gunther, R.T. & Seppala, J.E. (2022) Simulated stress mitigation strategies in embedded 3D bioprinting, submitted for publication",
"language": [
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"distribution": [
{
"downloadURL": "https:\/\/data.nist.gov\/od\/ds\/mds2-2602\/openfoamEmbedded3DP-1.1.1.zip",
"description": "A zip file of Python tools for OpenFOAM embedded 3D printing, version 1.1.1. Only the readme varies from 1.1.0.",
"mediaType": "application\/x-zip-compressed",
"title": "Python tools for OpenFOAM embedded 3D printing, version 1.1.1"
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{
"accessURL": "https:\/\/github.com\/usnistgov\/openfoamEmbedded3DP\/releases\/tag\/v1.1.1",
"format": "link to Github",
"description": "Link to Github page. Living code is updated at this repository. The link goes to a static version, frozen at time of paper submission.",
"title": "Github release v1.1.1"
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"modified": "2022-04-06 00:00:00",
"publisher": {
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"name": "National Institute of Standards and Technology"
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"theme": [
"Manufacturing:Biomanufacturing",
"Manufacturing:Additive manufacturing",
"Mathematics and Statistics:Numerical methods and software",
"Mathematics and Statistics:Modeling and simulation research",
"Materials:Polymers",
"Materials:Modeling and computational material science"
],
"keyword": [
"3d printing",
"additive manufacturing",
"polymer",
"embedded ink writing",
"embedded 3D printing",
"bioprinting",
"rheology",
"computational fluid dynamics",
"OpenFOAM"
]
}
