Rapid, Agile Manufacturing for Defense-Grade Aerospace Structures
New materials and next-generation manufacturing processes are transforming the aerospace and defense industry, enabling warfighters to outpace emerging threats with speed, precision, and adaptability. At the core of this transformation is the integration of artificial intelligence and robotics—key enablers for agile production of complex aerospace structures, missile components, and hypersonic vehicle subassemblies.
This session will explore how advanced, material-agnostic manufacturing cells are enabling Sero Defense and its partners to bypass traditional tooling constraints and unlock a new paradigm in high-mix, low-volume production. From complex aero structures to missile body segments and high-temperature hypersonic vehicle skins, these robotic systems can process a wide range of alloys and geometries within a single cell—empowering design teams to rapidly iterate, validate, and field solutions with unprecedented speed.
Key takeaways will include:
- Drastic reductions in lead time and cost compared to traditional forgings and machined billets, without compromising structural integrity or performance in flight-critical applications.
- Breakthroughs in flexibility and scalability, with robotic forming processes that eliminate the need for custom dies or spin-form tooling—ideal for rapidly evolving defense needs in missile systems and hypersonic platforms.
- An integrated approach to complex defense subassemblies, including structural shells, control surfaces, and tanks for propulsion and thermal management. These can now be formed, refined, and assembled in a single manufacturing work cell, drastically compressing development cycles and increasing throughput.
John Borrego, Sr. Vice President of A&D of Machina Labs will highlight how this novel intersection of AI, robotics, and agile manufacturing is directly impacting programs related to next-gen missiles, hypersonic testbeds, and advanced aero structures—delivering defense capability at the speed of relevance.
