The Additive Manufacturing Center of Excellence (AM CoE) of ASTM International has announced the launch of its Consortium for Materials Data and Standardisation (CMDS) initiative, with the goal of bringing key organisations from across a broad range of industries representing the entire AM value stream together to collaborate on standardisation of the requirements for AM materials data generation.
With 21 founding members, the Consortium for Materials Data and Standardisation will create and manage shared high pedigree reference datasets required to accelerate qualification and greater adoption of AM technologies.
Consortium for Materials Data and Standardisation
The CMDS approach focuses on determining key process-structure-property relationships required to develop methods for generating machine-agnostic materials data. The CMDS will curate a shared database of high-quality data that consortium members will use to develop the tools, such as physics-based/probabilistic models and data analytics, required to support rapid qualification of new AM applications, materials, and technologies, as well as real-time quality assurance to scale AM production.
The founding members include:
- Accurate Brazing
- AddUp Inc.
- ASTM International
- Auburn University
- BeamIT/3T-AM Ltd.
- Desktop Metal
- Element Materials Technology
- Edison Welding Institute (EWI)
- Fraunhofer IAPT
- Gasbarre Thermal Processing Systems
- GE Additive
- GKN Additive
- Hexagon Manufacturing Intelligence, Inc.
- HP Inc.
- Manufacturing Technology Center (MTC)
- National Aeronautics and Space Administration (NASA)
- Raytheon Technologies Corporation
- Sigma Labs, Inc.
Each year, the CMDS will select materials and application specific properties (e.g., static, cyclic, thermal, corrosion) of interest and execute various projects that ultimately support the development of standards and datasets under the direction of industry members and in coordination with key regulatory bodies and other government agencies.
While members retain exclusive use of the full datasets to support their businesses, research output and lessons learned will inform new AM standards and specifications developed through ASTM related committees such as F42 to drive industry consistency, creating new and improved materials specifications with property and structure requirements based on robust datasets.
“This initiative connects industry, academia, and government teams to accelerate the path for additive adoption, moving Additive Manufacturing from a process with significant financial barriers to a standard manufacturing process for widespread use. Raytheon Technologies is bringing their experience and diverse research and data to help create the standards and necessary qualification methods.”– Jeff Shubrooks, Raytheon Missiles and Defense Additive Manufacturing Technology Area Lead
Nicholas Mule, Director, Boeing Additive Manufacturing Intelligence Center, added, “The Boeing team is excited to join the AM CoE Industry Consortium and collaborate with the AM CoE industry members to mature and accelerate the industrial adoption of additive manufacturing. The collective AM expertise of the members provide the broad perspective needed to advance the AM industry and drive towards the common AM standards needed for sustained adoption.”
“GE Additive is pleased to continue its engagement with the AM CoE Industry Consortium. As a company that offers the entire additive ecosystem, from feedstock to finished parts, we recognise the importance of developing highly pedigreed materials property datasets. By coming together to define a common approach to materials characterisation, we hope to drive further understanding and expansion of the additive industry as a whole.”– Amber Andreaco, Section Manager – Materials & Powders, GE Additive
ASTM International, NASA, and Auburn University are the AM CoE partners who support the Consortium for Materials Data and Standardisation’s core technical activities and execution. This membership-driven consortium aims to strengthen AM CoE’s core mission of research to standards (R2S), by filling standardisation gaps and facilitating access to high-quality datasets.
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