AM Bench provides multiple systems and pathways for users to access, download, search, and analyze AM Bench data and metadata. The AM Bench data management systems have been completely redesigned for AM Bench 2022. The older AM Bench 2018 systems are still being maintained but, ultimately, the 2018 data and metadata will be transferred to the new systems.
AM Bench 2022 data and metadata access is being supported through several different mechanisms that target different user needs:
AM Bench Website
This website includes detailed background material on AM Bench, descriptions of all AM Bench measurements and challenge problems along with informational videos from the measurement teams, links to all public AM Bench data and metadata, schedules for upcoming AM Bench events, lists of the 2018 and 2022 AM Bench challenge problem award winners, and descriptions of the data management systems.
NIST Public Data Repository
All AM Bench public data are stored on the NIST Public Data Repository (PDR) and may be accessed through the NIST Science Data Portal which provides a user-friendly discovery and exploration tool for publicly available datasets at NIST. This portal is designed with FAIR principles and best practice for Federal Data Strategy. For Fair Use of these data, please include the citation provided on the PDR homepage in your works, including the Digital Object Identifier (DOI). NIST DOIs are registered with the DataCite organization and provide globally unique persistent identifiers. The DOI also serves as a direct link to data homepages giving access to the full research publication description and underlying datasets. Direct links to the various AM Bench datasets in the PDR are provided on the data access pages of the AM Bench website.
Status as of March 16, 2023: All 2022 measurements are completed and data publications are being prepared, reviewed, and published as quickly as possible.
Measurement data are incomplete without the critical metadata describing the measurement instrument, instrument configuration, calibration, sample details, analysis methods, and many other factors. The AM Bench metadata are curated using the NIST Configurable Data Curation System (CDCS). The CDCS provides a method for capturing, sharing, and transforming unstructured data into a structured format based on the Extensible Markup Language (XML). Data and metadata are organized using AM Bench-developed templates encoded in XML Schema to create searchable data documents that are saved in a non-relational (NoSQL) document database.
AM Bench users can access the AM Bench CDCS at ambench2022.nist.gov. Documentation on using the CDCS may be found here.
Status as of March 16, 2023: Ambench2022.nist.gov is publicly accessible with a large subset of the AM Bench 2022 measurement data and metadata. The available data and metadata are being expanded as quickly as possible as data are published in the PDR.
Some of the AM Bench data sets are large (> 1 TB) and may require processing to extract desired quantities. Since it is impractical to require all AM Bench users to download such large datasets and to develop all their own codes for extracting meaningful results, AM Bench is providing server-side processing through SciServer. SciServer is operated by the Institute for Data Intensive Engineering and Science (IDIES) at JHU and is funded by the National Science Foundation through its Data Infrastructure Building Blocks (DIBBs) program. AM Bench users can apply for free virtual machines that include Jupyter notebooks and pre-installed software packages for AM Bench data analysis. A mirror of the AM Bench public measurement data on the PDR is maintained on the SciServer platform and search features are available.
AM Bench users can register for a SciServer account at https://sciserver.org. General Help may be found at https://www.sciserver.org/support/
Once a user has registered, they will be able to access a data volume containing AM Bench data through the Manufacturing Science Domain.To gain access first click on the ‘Science Domains’ tab in the SciServer dashboard. There select the “Manufacturing” entry and click the “Join” button on the right. Now you should see the AMBench Data Volume under the Files tab and it will also be available to be mounted when you create a Compute container.
Status as of March 16, 2023: The AM Bench SciServer is publicly accessible. The available data sets will be expanded as they are published in the PDR.
AM Bench GitHub
As mentioned above, many of the AM Bench datasets can be processed and analyzed to obtain valuable information for validating model predictions and exploring connections between disparate phenomena. Although some pre-written analysis codes are provided, it is expected that some AM Bench users will need to develop their own codes and algorithms for exploring these datasets. We are providing a public AM Bench GitHub where the AM Bench users can share codes, strategies, and results.
Status as of March 16, 2023: The AM Bench GitHub repository is currently under development.
AM Bench 2018 data access is supported through multiple mechanisms similar to those described above:
Most of the AM Bench 2018 data have been published in journals, primarily in the journal Integrating Materials and Manufacturing Innovation, within the thematic section: Additive Manufacturing Benchmarks 2018. Note that some of the publications are listed more than once since they include measurements from more than one set of benchmark measurements.
AMB2018-01 – Metal 3D Builds
AMB2018-02 – Individual Laser Traces on Bare Metal Plates
AMB2018-03 – Polymer 3D Builds using Material Extrusion
AMB2018-04 – Polymer 3D Builds using LPBF