Bell and U.S. Army Advance V-280 Valor Development and Aviation Modernization
Bell Textron Inc. and the U.S. Army have agreed to terms on the execution of the second phase of the Competitive Demonstration and Risk Reduction (CD&RR) contract that was awarded in March 2020 for the Future Long-Range Assault Aircraft (FLRAA) program. This new contract is an important milestone and testament to the continued momentum for Army modernization. Bell’s flight-proven V-280 Valor design advances from an aircraft with transformational speed and survivability towards a low-risk weapons system ready to support joint combined arms and maneuver operations around the world.
During phase one of the CD&RR, Bell provided detailed iterations on the V-280 design, data to highlight the feasibility of executing the program of record requirements, and executed trade studies using model-based systems engineering. This work will continue under phase two as the Army finalizes requirements for the program of record planned for 2022.
Bell has already safely delivered groundbreaking performance and successfully completed a rapid design, build, and test program with the V-280. Since its first flight in 2017, the V-280 team has executed a rigorous flight test program flying more than 200 hours through over 160 individual test flights that delivered critical data to validate Bell’s digital models and performance.
As the FLRAA competition moves to a program of record, Bell continues to take a holistic approach to transition the V-280 to a weapons system that ensures exceptional performance and is affordable throughout the lifecycle. From the outset, the Bell V-280 Valor was designed for efficiency—using simplified and inherently reliable designs, adhering to Army Modular Open Systems Approach (MOSA) requirements, reducing maintenance costs, and increasing reliability. Bell applied digital design and manufacturing technologies, included maintenance as part of the design process, and used emerging commercial processes to bring a comprehensive view of digital models, processing, and analysis. This methodology has reduced programmatic risk, improved lifecycle maintenance and servicing outcomes, increasing program affordability.