Benchmarking the future of metal 3d printing
AM-D-Model is an ESAFORM benchmark project aiming to create the data that will drive the future of Laser Powder-Bed-Fusion (L-PBF) research and innovation. By connecting an international network of collaborators AM-D-Model will create a comprehensive, open L-PBF benchmark dataset. As part of our commitment to open science, this dataset will be openly shared with the research community. Our goal is to create a universal benchmark for the L-PBF community, sparking the collaboration and innovation that will build the future of this technology.
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An L-PBF buildplate after a successful print
Experts in L-PBF
Experienced Research Teams
Our collaboration is comprised of expert L-PBF researchers with years of experience in the field.
International Excellence
AM-D-Model contributors include scientists and engineers from respected research institutions across Europe.
Backed by Research Associations
AM-D-Model is supported and funded by ESAFORM, a globally recognized association of research leaders in additive manufacturing.
A dashboard featuring L-PBF thermographic analyses
Data Driven Research
Building the Future of L-PBF
AM-D-Model aims to provide a key cornerstone for the future of L-PBF research: a universal benchmark for process modelling.
Community Focused Data Management
We aim to provide a blueprint for future big data AM projects, working with contributors to ensure this benchmarking dataset is managed responsibly.
Data Science, as a Core Discipline
Our team includes expert data scientists, responsible for managing data contributions and maximizing data impact.
A render of the open science logo with a modified color palette
Open Science
FAIR, Transparent, and Open
The AM-D-Model benchmark project is designed with open science in mind, following FAIR principles of transparency and openness.
Visibility, Accessibility and Impact
By making these results open, we believe that visibility and accessibility will maximize their impact on the L-PBF field.
Serving the Research Community
We aim to contribute to the L-PBF research community by providing a universally accessible benchmark similar to those driving other cutting-edge research fields.
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