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49 results found

Per- and polyfluoroalkyl substances (PFAS) Interferents List

Data provided by  National Institute of Standards and Technology

A table of known interferences for per- and polyfluoroalkyl substances using mass spectrometry.

Tags: per- and polyfluoroalkyl substances,PFAS,mass spectrometry,analytical chemistry,high-resolution mass spectrometry,HRMS,LC-MS/MS,

Modified: 2024-02-22

Views: 0

Supplemental Data and Source Code for ILSA Research

Data provided by  National Institute of Standards and Technology

Source code associated with the Inverted Library Search Algorithm (ILSA) for identifying mixture components using is-CID mass spectra. This source code is frozen to accompany the manuscript titled "Updates to the Inverted Library Search Algorithm for mixture analysis" by Moorthy et. al.

Tags: mass spectrometry,Mixture Analysis,Search Algorithms,seized drug analysis,

Modified: 2024-02-22

Views: 0

Python tools for measuring filament defects in embedded 3D printing

Data provided by  National Institute of Standards and Technology

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. The zip file contains the state of the code when the associated paper was submitted. The link to the GitHub page goes to version 1.0.0, which is the same as the code attached here. From there, you can also access the current state of the code.Associated with: L. Friedrich, R. Gunther, J.

Tags: python,digital image analysis,computer vision,3D printing,additive manufacturing,openCV,

Modified: 2024-02-22

Views: 0

Suppression of filament defects in embedded 3D printing: images and videos of single filament extrusion

Data provided by  National Institute of Standards and Technology

These images, videos, and tables show experimental data, where single lines of viscoelastic 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. Metadata including pressure graphs, programmed speeds, toolpaths, and rheology data are also included.

Tags: 3D printing,additive manufacturing,polymer,viscoelasticity,Herschel-Bulkley,

Modified: 2024-02-22

Views: 0

AM Bench 2022 challenge problem Subcontinuum Mesoscale Tensile Test (CHAL-AMB2022-04-MeTT)

Data provided by  National Institute of Standards and Technology

One additively manufactured (AM) laser powder bed fusion (PBF-L) Inconel 625 mesoscale tensile specimen (gauge dimensions approximately 0.2mm x 0.2 mm x 1mm) was extracted from build AMB2022-CBM-B1 specimen TH1 and tested at room temperature using a quasistatic strain rate of 0.001/s to failure.  Microstructure was measured using x-ray computed tomography (XRCT) and scanning electron microscopy (SEM) techniques on the specimen gauge section or adjacent material.  Large-area electron backscatter diffraction was used to measure crystallographic texture and grain size/morphology of the entire

Tags: AM Bench,benchmark,additive manufacturing,metal,mechanical characterization,microstructure characterization,

Modified: 2024-02-22

Views: 0

AM Bench 2022 challenge Macroscale Tensile Tests at Different Orientations (CHAL-AMB2022-04-MaTTO)

Data provided by  National Institute of Standards and Technology

Additively manufactured (AM) laser powder bed fusion (PBF-L) Inconel 625 blocks were built with two different scan strategies: XY and X-only.  96 tensile specimens were extracted from blocks at different tensile axis orientations with respect to the build direction to yield the following conditions: XY scan strategy (0, 30, 45, 60, and 90 degree orientation w.r.t. build direction) and X-only scan strategy (0, 60, 90 degree orientation w.r.t.

Tags: AM Bench,benchmark,additive manufacturing,metal,mechanical characterization,microstructure characterization,

Modified: 2024-02-22

Views: 0

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

Data provided by  National Institute of Standards and Technology

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.

Tags: 3D printing,additive manufacturing,polymer,embedded ink writing,embedded 3D printing,bioprinting,rheology,computational fluid dynamics,OpenFOAM,

Modified: 2024-02-22

Views: 0

Temperature profiles of acrylonitrile butadiene styrene (ABS) during bench-scale material extrusion additive manufacturing

Data provided by  National Institute of Standards and Technology

Temperature profiles of acrylonitrile butadiene styrene (ABS) filament during material extrusion additive manufacturing. Printing temperature and velocities cover the full "printable" range of the ABS filament and are corrected for reflected infrared photons. The profile of the active printing layer and two sub-layers are included. See the associated publication for the full experimental details.

Tags: Acrylonitrile butadiene styrene,ABS,FDM,thermography,3D printing,Temperature profiles,material extrusion,additive manufacturing,

Modified: 2024-02-22

Views: 0

Macroscale Compression at Different Temperatures and Orientations (CHAL-AMB2022-04-MaCTO)

Data provided by  National Institute of Standards and Technology

This challenge is to predict the macroscopic stress-strain response of compression samples across a range of temperatures taken from the base leg of the IN625 AMB2018-01 build in both the build direction (Z-axis) and a transverse-build direction (Y-axis). The specific temperatures of interest are 298 K, 523 K, and 773 K. The calibration data provided in this dataset corresponds to the build direction compression tests done at 298 K and 773 K.

Tags: AM Bench,benchmark,additive manufacturing,metal,mechanical characterization,

Modified: 2024-02-22

Views: 0

FCpy: Feldman-Cousins Confidence Interval Calculator

Data provided by  National Institute of Standards and Technology

Python scripts and Python+Qt graphical user interface for calculating Feldman-Cousins confidence intervals for low-count Poisson processes in the presence of a known background and for Gaussian processes with a physical lower limit of 0.

Tags: python,SIMS,statistics,mass spectrometry,Confidence Interval,CI,Feldman,Cousins,Poisson,Gaussian,

Modified: 2024-02-22

Views: 0