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94 results found

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

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

Supporting Info for Synergistic Fire Resistance of Nanobrick Wall Coated 3D Printed Photopolymer Lattices

Data provided by  National Institute of Standards and Technology

Videos and .stl files from Synergistic Fire Resistance of Nanobrick Wall Coated 3D Printed Photopolymer Lattices.The videos are from the fire tests of 3D printed photopolymer parts, from which time series still images were acquired. In these tests, printed parts (with or without a nanocoating) are subjected to direct blowtorch exposure until part failure (defined as when the part shatters). Most videos include time after torch removal while the part continues to burn.The .stl files are the files used to 3D print the parts studied in this work.

Tags: Fire protection,layer-by-layer,additive manufacturing,

Modified: 2024-02-22

Views: 0

NIST DART-MS Forensics Database (is-CID)

Data provided by  National Institute of Standards and Technology

The NIST DART-MS Forensics Database is an evaluated collection of in-source collisionally-induced dissociation (is-CID) mass spectra of compounds of interest to the forensics community (e.g. seized drugs, cutting agents, etc.). The is-CID mass spectra were collected using Direct Analysis in Real-Time (DART) Mass Spectrometry (MS), either by NIST scientists or by contributing agencies noted per compound. The database is provided as a general-purpose structure data file (.SDF).

Tags: Standard reference data,mass spectra,Ion Fragmentation,mass spectrometry,NIST Mass Spectral Libraries,Chemical Identification,Biosciences and Health,Security and Forensics,

Modified: 2024-02-22

Views: 0

Data for "Preparing for 6G: Developing best practices and standards for industrial measurements of low-loss dielectrics"

Data provided by  National Institute of Standards and Technology

Data for "Preparing for 6G: Developing best practices and standards for industrial measurements of low-loss dielectrics"

Tags: Dielectrics,measurements,mmWave,Standard Reference Material,

Modified: 2024-02-22

Views: 0

Additive Manufacturing Benchmark 2022 Schema

Data provided by  National Institute of Standards and Technology

This resource is the implementation in XML Schema [1] of a data model that describes the Additive Manufacturing Benchmark 2022 series data. It provides a robust set of metadata for the build processes and their resulting specimens and for measurements made on these in the context of the AM Bench 2022 project.The schema was designed to support typical science questions which users of a database with metadata about the AM Bench results might wish to pose.

Tags: data model,additive manufacturing,build plate,material composition,laser absorptivity,radiography,mechanical testing,

Modified: 2024-02-22

Views: 0

A Data-Driven Approach to Complex Voxel Predictions in Grayscale Digital Light Processing Additive Manufacturing Using U-nets and Generative Adversarial Networks

Data provided by  National Institute of Standards and Technology

Digital light processing (DLP) vat photopolymerization (VP) additive manufacturing (AM) uses patterned UV light to selectively cure a liquid photopolymer into a solid layer. Subsequent layers are printed on to preceding layers to eventually form a desired 3 dimensional (3D) part. This data set characterizes the 3D geometry of a single layer of voxels (volume pixels) printed with photomasks assigned random intensity levels at every pixel. The masks are computer generated, then printed onto a glass cover slide.

Tags: 3D printing,additive manufacturing,machine learning,generative adversarial network,Photopolymer,

Modified: 2024-02-22

Views: 0

Additive Manufacturing Profile

Data provided by  National Institute of Standards and Technology

Contains associated data for the manuscript "Layered Security Guidance for Data Asset Management in Additive Manufacturing" by Fahad Milaat and Joshua Lubell. The associated data is the source of the OSCAL representations in Section 4 of the manuscript.

Tags: additive manufacturing,cybersecurity framework,Asset Management,Profile,

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 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