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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
Effects of as-built surface with varying number of contour passes on high-cycle fatigue behavior of additively manufactured nickel alloy 718
Data provided by National Institute of Standards and Technology
Abstract (from the manuscript): High cycle fatigue life of laser-powder bed fusion (L-PBF) parts depends on several factors; as-built surfaces, when present, are a particular concern. This work measures as-built L-PBF surfaces with X-ray computed tomography, and uses rotating beam fatigue (RBF) testing to measure high cycle fatigue life. Surfaces with different, but consistent, characteristics are achieved by build in vertical specimens and changing only the number of contour passes.
Tags: additive manufacturing,Laser Powder Bed Fusion,Rotating beam fatigue,Nickel alloy 718,As-built,surface roughness,
Modified: 2024-02-22
AM Bench 2018 Residual Elastic Strain Measurements of 3D Additive Manufacturing Builds of IN625 Artifacts Using Neutron Diffraction and Synchrotron X-ray Diffraction
Data provided by National Institute of Standards and Technology
The development of large residual elastic strains and stresses during laser powder-bed fusion (LPBF) additive manufacturing is one of the most significant barriers to widespread adoption. Accurate modeling of these strains and stresses is broadly recognized as an effective tool for mitigating these challenges, but rigorous validation data are needed. This data publication includes measurement data from diffraction-based characterizations of residual elastic strains in as-built (not heat treated) artifacts manufactured as part the the 2018 Additive Manufacturing Benchmark Series (AM Bench).
Tags: additive manufacturing,AM Bench,LPBF,Residual Stress,residual strain,neutron diffraction,synchrotron X-ray diffraction,
Modified: 2024-02-22
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
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
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
Process-structure-properties investigations for laser powder bed fused IN718 in the as-built condition
Data provided by National Institute of Standards and Technology
This data repository provides a central location for a body of work using one build of nickel-based alloy 718 (IN718) material and resulted in three different studies. The IN718 parts were manufactured by laser powder bed fusion using a range of laser energy densities (manipulation of processing variables) and orientations with respect to the build direction. The influence of processing variables on resulting grain structures, pore structures, and mechanical properties were studied in the as-built (not heat treated) condition.
Tags: additive manufacturing,Laser Powder Bed Fusion,Inconel 718,High-cycle fatigue life,Fractography,surface roughness,microstructure,defects,porosity,Tensile properties,Characterization,Ductile fracture,x-ray computed tomography,
Modified: 2024-02-22
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
SRM 2384 Baking Chocolate
Data provided by National Institute of Standards and Technology
SRM 2384 Baking Chocolate - This Standard Reference Material (SRM) is intended primarily for use in validating methods for determining proximates, fatty acids, calories, vitamins, elements, catechins, caffeine, and theobromine in baking chocolate and similar matrices. This SRM can also be used for quality assurance when assigning values to in-house reference materials. The SRM is baking chocolate prepared from 100 % cocoa beans by a manufacturer of baking chocolate and consists of a single production lot.
Tags: Standard Reference Material,SRM,SRM 2384,baking chocolate,certified values,reference values,food,nutrition,Food and Nutrition,
Modified: 2024-02-22
SRM 2387 Peanut Butter
Data provided by National Institute of Standards and Technology
SRM 2387 Peanut Butter - This Standard Reference Material (SRM) is intended primarily for use in validating methods for determining proximates, fatty acids, calories, vitamins, elements, amino acids, aflatoxins, and acrylamide in peanut butter and similar matrices. This SRM can also be used for quality assurance when assigning values to in-house reference materials. The SRM is a creamy peanut butter prepared by a manufacturer of peanut butter products. A unit of SRM 2387 consists of three jars of peanut butter containing 170 g each.
Tags: Standard Reference Material,SRM,SRM 2387,peanut butter,certified values,reference values,food,nutrition,Food and Nutrition,
Modified: 2024-02-22