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:
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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