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49 results found

Hot-wire anemometer gas speed measurements in a commercial laser powder bed fusion machine

Data provided by  National Institute of Standards and Technology

Gas speed measurements using hot-wire anemometers (HWA) on a commercial laser powder bed fusion (LBPF) machine were recorded as a function of position (X, Y, Z) and nozzle type (standard and grid).

Tags: additive manufacturing,gas flow,anemometer,machine qualification,

Modified: 2024-02-22

Views: 0

AM-Bench image analysis demonstration

Data provided by  National Institute of Standards and Technology

This repository contains scripts and supporting information for a set of demonstrations related to the 2022 AM-Bench challenge series.In particular, the data used in this demonstration comes from the 2018 AM-Bench challenge documented at https://www.nist.gov/ambench/amb2018-02-description.The script queries the AM-Bench 2018 repository located at https://ambench.nist.gov/, then processes the returned XML-based results, does some image processing, and generates plots of melt pool dep

Tags: additive manufacturing,benchmark,AM-Bench,

Modified: 2024-02-22

Views: 0

AM Bench 2022 ASTM E8 Macroscale Tension at Different Strain Rates on As-built IN625

Data provided by  National Institute of Standards and Technology

Macro-scale tensile data on additively manufactured (AM) IN625 in the as-built microstructural condition at room temperature and at different strain rates are provided in this data publication. The specimens are machined in accordance with ASTM-E8 subsize specimen with a gauge width of 6 mm and a gauge thickness of 4 mm. Three specimens are tested at a nominal strain rate of 0.001 1/s and 2 specimens are tested at a nominal strain rate of 0.01 1/s on a servo hydraulic material testing machine using a constant crosshead displacement rate of 0.03175 mm/s and 0.3175 mm/s, respectively.

Tags: AM Bench,benchmark,mechanical characterization,strain rate,Inconel 625,additive manufacturing,superalloy,

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

Simulated X-ray computed tomography (XCT) and ground truth images of cylindrical sample with randomly distributed spherical pores

Data provided by  National Institute of Standards and Technology

X-ray computed tomography (XCT) datasets with known ground truth pores were developed using realistic XCT simulation. Non-overlapping spherical pores of varying sizes are randomly distributed in a cylindrical part near surfaces and within the core. Ground truth data, ground truth binary data, and reconstructed data for three different signal-to-noise ratios (SNRs) are provided. The data set can be used for evaluation and comparison of image segmentation/detection algorithms.

Tags: x-ray computed tomography,defect,flaw,additive manufacturing,image segmentation,evaluation metrics,ground truth data,Non-destructive evaluation,

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

AM Bench 2022 Vat Photopolymerization Challenge Data: Resin properties, light engine calibration, and calibration print dimensions (AMB2022-07)

Data provided by  National Institute of Standards and Technology

This Photopolymer AM-Bench 2022 Challenge is to accurately model the relationship between photopatterned print fidelity and cure depth to exposure time with four resins, which serve to orthogonally probe the relationship between resin reactivity and viscosity. The data sets included here are broken down into three categories and are as follows: (1) resin characterization: Fourier transform infrared spectroscopy and rheometry, (2) light engine characterization: photomask dimensions, beam profilometry and radiometry, and (3) cure depth and profile: laser scanning confocal microscopy.

Tags: vat photopolymerization,additive manufacturing,Photopolymer,cure depth,AFM,laser scanning confocal microscopy,FTIR,rheology,radiometry,

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

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