These images, videos, and tables show experimental data, where single lines, pairs of lines, and trios of lines of viscoelastic silicone inks were extruded into moving viscoelastic support baths. Lines were printed at varying angles relative to the camera, such that videos and images captured the side of horizontal lines, cross-sections of horizontal lines, and the side of vertical lines. For single lines and pairs of lines, the filaments were also disturbed after printing by running the nozzle next to the construct. Metadata including pressure graphs, programmed speeds, toolpaths, and rheology data are also included.

These images, videos, and tables show experimental data, where single lines, pairs of lines, and trios of lines of viscoelastic silicone inks were extruded into moving viscoelastic support baths. Lines were printed at varying angles relative to the camera, such that videos and images captured the side of horizontal lines, cross-sections of horizontal lines, and the side of vertical lines. For single lines and pairs of lines, the filaments were also disturbed after printing by running the nozzle next to the construct. Metadata including pressure graphs, programmed speeds, toolpaths, and rheology data are also included.

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, pairs of filaments, and triplets of filaments. The link to the GitHub release goes to the state of the code when the paper was submitted. From there, you can also access the current state of the code.

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

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

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, for single filaments, single filaments being disturbed by a nozzle, and printing pairs of filaments. 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 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.

The data provided in the spreadsheet was used to generate Figures 1, 2 and 3 in the manuscript Variability in the inorganic composition of colored acrylonitrile–butadiene–styrene and polylactic acid filaments used in 3D printing: https://doi.org/10.1007/s42452-022-05221-7. This dataset is associated with the following publication: Peloquin, D.M., L.N. Rand, E.J. Baumann, A. Gitipour, J. Matheson, and T.P. Luxton. Variability in the inorganic composition of colored acrylonitrile–butadiene–styrene and polylactic acid filaments used in 3D printing. Applied Sciences. MDPI, Basel, SWITZERLAND, 5: 10, (2023).

Polymers used in 3D printing are known to emit hazardous materials when heated. While the emissions from pristine polymers and some filaments have been studied, many filaments contain additives that may influence their hazardous emissions. This research used a variety of commercially-available 3D printer filaments to assess the possibly formation of environmentally persistent free radicals (EPFRs), a class of surface-bound free radicals that have much longer lifetimes compared to their gas-phase counterparts. Electron paramagnetic resonance (EPR) spectroscopy was used to successfully identify EPFRs in particulate matter collected during regular 3D printer use. These findings should influence future studies on 3D printer emissions to include consideration of EPFR formation. These methodologies may be used by EPA's Chemical Safety and Pollution Prevention (OCSPP), Consumer Protection and Safety Commission (CPSC), and National Institute of Occupational of Safety and Health (NIOSH). This dataset is associated with the following publication: Hasan, F., P.M. Potter, S.R. Al-Abed, J. Matheson, and S.M. Lomnicki. Investigating environmentally persistent free radicals (EPFRs) emissions of 3D printing process. Chemical Engineering Journal. Elsevier BV, AMSTERDAM, NETHERLANDS, 480: 148158, (2024).

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.