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OpenFOAM simulations of stress mitigation strategies in embedded 3D bioprinting

Published by National Institute of Standards and Technology | National Institute of Standards and Technology | Metadata Last Checked: August 02, 2025 | Last Modified: 2022-04-06 00:00:00
In embedded 3D printing, a nozzle is embedded into a support bath and extrudes filaments or droplets into the bath. Embedded 3D printing is particularly useful for bioprinting, wherein a cell-laden ink is extruded through the nozzle. Using OpenFOAM, we simulated the extrusion of filaments and droplets into a moving bath. This dataset focuses on the effect of common cell protection strategies on the extrusion of single lines and stresses imposed on cells. OpenFOAM is an open source computational fluid dynamics solver. This work used OpenFOAM 8 on a computing cluster. OpenFOAM input files were generated using Python 3.7. Output files were analyzed using Paraview 5.8.0 and Python 3.7. Associated code can be found on Github: https://github.com/usnistgov/openfoamEmbedded3DP, doi:10.18434/mds2-2602 This data is described in: Friedrich, L. M., Gunther, R. T., & Seppala, J. E. (2022). Simulated stress mitigation strategies in embedded 3D bioprinting, submitted for publication.

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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. Embedded 3D printing is particularly useful for bioprinting, wherein a cell-laden ink is extruded through the nozzle. Using OpenFOAM, we simulated the extrusion of filaments and droplets into a moving bath. This dataset focuses on the effect of common cell protection strategies on the extrusion of single lines and stresses imposed on cells. OpenFOAM is an open source computational fluid dynamics solver. This work used OpenFOAM 8 on a computing cluster. OpenFOAM input files were generated using Python 3.7. Output files were analyzed using Paraview 5.8.0 and Python 3.7. Associated code can be found on Github: https://github.com/usnistgov/openfoamEmbedded3DP, doi:10.18434/mds2-2602 This data is described in: Friedrich, L. M., Gunther, R. T., & Seppala, J. E. (2022). Simulated stress mitigation strategies in embedded 3D bioprinting, submitted for publication.
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identifier ark:/88434/mds2-2604
keyword 
                                            [
  "3D-printing",
  "Herschel-Bulkley",
  "OpenFOAM",
  "extrusion",
  "rheology",
  "support-bath",
  "surface tension"
]
landingPage https://data.nist.gov/od/id/mds2-2604
language 
                                            [
  "en"
]
license https://www.nist.gov/open/license
modified 2022-04-06 00:00:00
programCode 
                                            [
  "006:045"
]
publisher 
                                            {
  "name": "National Institute of Standards and Technology",
  "@type": "org:Organization"
}
references 
                                            [
  "https://doi.org/10.18434/mds2-2602"
]
theme 
                                            [
  "Manufacturing:Additive manufacturing",
  "Manufacturing:Biomanufacturing",
  "Materials:Modeling and computational material science",
  "Materials:Polymers",
  "Mathematics and Statistics:Modeling and simulation research",
  "Mathematics and Statistics:Numerical methods and software"
]
title OpenFOAM simulations of stress mitigation strategies in embedded 3D bioprinting

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