Data Publication

Python tools for OpenFOAM simulations of filament shapes in embedded 3D printing, Version 1.1.0

Leanne Friedrich Author's orcid, Ross Gunther Author's orcid, Jonathan Seppala Author's orcid
Contact: Jonathan Seppala.
Identifier: doi:10.18434/mds2-2602
Version: 1.0... First Released: 2022-07-11 Revised: 2022-07-11
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
Research Areas
NIST R&D: Manufacturing: BiomanufacturingManufacturing: Additive manufacturingMathematics and Statistics: Numerical methods and softwareMathematics and Statistics: Modeling and simulation researchMaterials: PolymersShow more...
Keywords: 3d printingadditive manufacturingpolymerembedded ink writingembedded 3D printingShow more...
These data are public.
Data and related material can be found at the following locations:
  Github release v1.1.1
Link to Github page. Living code is updated at this repository. The link goes to a static version, frozen at time of paper submission.
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Version: 1.0... First Released: 2022-07-11 Revised: 2022-07-11
Cite this dataset
Leanne Friedrich, Ross Gunther, Jonathan Seppala (2022), Python tools for OpenFOAM simulations of filament shapes in embedded 3D printing, Version 1.1.0, National Institute of Standards and Technology, https://doi.org/10.18434/mds2-2602 (Accessed 2025-07-11)
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