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.

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.

The following data files are provided in support of the 2022 Additive Manufacturing Benchmark test series (AM-Bench 2022) modeling challenges associated with laser powder bed fusion (LPBF) 3D builds of nickel-based superalloy IN718 test objects.  These AM builds performed on the NIST Additive Manufacturing Metrology Testbed (AMMT).  Description of the associated measurements and model are provided on the AMB2022-01 challenge description webpage (https://www.nist.gov/ambench), and information on the directory structure and file formats available in

The EDS spectra discussed and used to create figures in the MRS journal article "Simulating Electron-Excited Energy Dispersive X-Ray Spectra with the NIST DTSA-II Open-Source Software Platform"

This data set includes (1) Experimental measurements, and (2) Simulation data. The experimental data set shows raw measurements and important calculated parameters. The simulation data are for the NIST vapor-compression system model, CYCLE_D-HX, and show the input data and output results. The simulation inputs are based on the experimental measurements.CYCLE_D-HX is a semi-theoretical model that simulates performance of a vapor-compression cycle with forced-convection heat exchangers for specified temperature profiles of the heat source and heat sink.

The following data files are provided in support of the 2022 Additive Manufacturing Benchmark test series (AM-Bench 2022) modeling challenges associated with laser powder bed fusion (LPBF) 3D builds of nickel-based superalloy IN718 test objects using variety of custom scan strategies.  These AM builds were performed on the NIST Additive Manufacturing Metrology Testbed (AMMT, https://www.nist.gov/el/ammt-temps).  Note that these 3D builds are an extension of those for the AMB2022-01 challenges, and part geometry, materials data, and 'nomi

The following data files are provided in support of the AM Bench 2022 modeling challenges associated with Microstructure measurement extension to AMB2018-01: laser powder bed fusion (LPBF) 3D builds of nickel-based superalloy IN625 test objects (AMB2022-05).  Description of the associated measurements are provided in the AMB2022-05 challenge description webpage (https://www.nist.gov/ambench).Some of the work was supported by the Exascale Additive Manufacturing Application Development Project, part of the Exascale Computing Project,  (17-SC-20-SC),

Data tables for Energy Price Indices and Discount Factors for Life-Cycle Cost Analysis - 2022: Annual Supplement to NIST Handbook 13Starting in the 2022 Annual Supplement to Handbook 135, the data tables within the text document has been extracted and provided in a supplemental spreadsheet.

System output scoring software of NIST 2022 Open Fine-grained Activity Detection (OpenFAD) challenge. OpenFAD is an activity classification and detection evaluation to measure how well systems can automatically classify or temporally detect fine-grained activities collected from the Consented Activities of People (CAP) dataset using handheld devices. Covers Activity Classification- (AC) and Temporal Activity Detection-Task (TAD).

Automated Particle Analysis data sets from a TESCAN MIRA3 with 3 Pulsetor EDS detectors automated using NIST DTSA-II with the SEMantics instrument control extension.The data is in the Zeppelin format designed by RJ Lee Group.