IN Brief:
- The Phase I task order has a $7.5 million value including a base and an option, with the split undisclosed.
- Automation Alley will test encrypted transfer of smart product recipes and linked quality assurance records.
- Markforged and Fraunhofer USA are partners, with NCDMM serving as the prime contractor.
Automation Alley has received a Phase I task order valued at $7.5 million, including a base award and an option, to develop secure distributed additive manufacturing for US Army sustainment. The work falls under the Industrial Base Analysis and Sustainment (IBAS) programme through an indefinite-delivery, indefinite-quantity contract vehicle involving the National Center for Defense Manufacturing and Machining (NCDMM).
The Michigan organisation will lead the technical work through Project DIAMOnD, its established distributed 3D printing initiative. NCDMM serves as prime contractor, with Markforged and Fraunhofer USA contributing additive manufacturing and applied research expertise. The first phase is intended to design and validate a production workflow; it does not represent a released production order for a defined quantity of military components.
The proposed network would allow a manufacturer to receive controlled instructions for an authorised part without necessarily taking unrestricted possession of the underlying design. Approved sites could then make components using suitable equipment and processes, retaining evidence of what was manufactured and how. Whether that model can support defence sustainment depends on data protection, repeatability and the customer’s acceptance requirements being demonstrated together.
Additive processes build material in successive layers from a digital model, but a geometry file does not tell the whole manufacturing story. Feedstock, machine condition, build orientation, energy input and post-processing can influence the finished part. Transferring instructions between facilities therefore requires a controlled account of process parameters, material requirements and inspection criteria, rather than assuming identical results from nominally compatible printers.
Automation Alley plans to develop and transfer what it calls smart product recipes, or SPRs, alongside digital quality assurance recipes. These would provide authorised production instructions and a way to record whether relevant checks had been completed for each part. The award specifically calls for secure end-to-end transfer and traceability; the system’s ability to deliver those requirements across the proposed network is what the first phase must establish.
The work includes identifying and validating polymer and metallic weapon-system components for trial production. Polymers may be sensitive to build direction, bonding between layers and thermal history, while metal processes can depend heavily on powder characteristics, thermal cycling and subsequent finishing. The partners have not identified the individual parts, the machines allocated to them or the engineering standards against which the components will be qualified.
A participating production site would need to verify the recipe version, material batch and machine setup before manufacture begins. Inspection data then has to be connected to the finished component and its source process, so that a customer can distinguish a conforming part from one made under different conditions. Reliable records are essential when manufacture moves away from a single controlled facility and additional organisations enter the production chain.
Protection of design intellectual property is central to the proposed workflow. Automation Alley intends to develop encryption and access controls aligned with National Institute of Standards and Technology guidance and Cybersecurity Maturity Model Certification requirements. This is a stated design and validation objective, not evidence that the new network has already achieved a particular CMMC status or that its cryptographic implementation has been approved.
Project DIAMOnD already operates as a distributed additive manufacturing initiative with connected equipment, training and access to production resources. That background gives the partners a network in which to examine the technical model, but a commercial production capability is not automatically authorised to supply regulated or safety-critical defence parts. The new award addresses additional controls needed to make that transition demonstrable.
Legacy equipment sustainment is one potential application. Conventional manufacture of a small replacement-part batch can be constrained by discontinued tooling, limited domestic capacity or long procurement routes. Making a suitable part closer to its point of use could reduce some delays, but the result depends on whether feedstock, qualified equipment, inspection personnel and approved designs are available at the receiving location.
Markforged’s manufacturing systems, Fraunhofer USA’s research capability and NCDMM’s experience in defence manufacturing will contribute different aspects of the trial. Automation Alley will lead the digital manufacturing approach and its validation through the consortium. The award does not specify which Project DIAMOnD sites will participate or establish that the broader membership is already accredited to supply the Army.
Repeatability across equipment is a more demanding test than a successful print at one location. The partners will need evidence that process controls produce acceptable component properties, that transferred recipes are authentic and current, and that quality records cannot be altered without detection. A later design or materials change may also require renewed approval, depending on how it affects the manufactured part. Publicly released pass criteria have not yet been identified.
The immediate programme is intended to deliver a tested digital workflow and evidence from candidate polymer and metal components, not an operational nationwide stock-replacement service. Later deployment will depend on the results and any follow-on procurement. The company has not split the $7.5 million figure between the base task and its option, so the full amount should not be presented as expenditure already obligated.
