Innovative Method for Real-Time Damage Alleviation Navy SBIR FY2011.2 Sol No.: Navy SBIR FY2011.2 Topic No.: N112-118 Topic Title: Innovative Method for Real-Time Damage Alleviation Proposal No.: N112-118-0863 Firm: Acellent Technologies, Inc. 835 Stewart Drive Sunnyvale, California 94085-4514 Contact: Sourav Banerjee Phone: (408) 745-1188 Web Site: www.acellent.com Abstract: Acellent Technologies, Inc. (Acellent) proposes to develop a Real time Auto Responsive System for Rotorcraft's Fatigue Damage Alleviation, using Structural Health Monitoring and Component Usage Data. The proposed technology is primarily based on three strong expertises that the team (Acellent and Advanced Rotorcraft Technologies (ART)) brought in to this proposal. A) Acellent's SMART Layerr technology to detect and continuously monitor fatigue damages in rotorcraft components, B) Acellent's Data fusion and statistical data interpretation capability C) ART's Computational Fluid Dynamics(CFD)/Nonlinear Finite Element Model (FEM) for component response interpretation and feedback loop to the real time flight control for further damage alleviation. The proposed concept is one step ahead of current health and usage monitoring systems (HUMS) and Condition Based Maintenance (CBM) technology. Benefits: In this proposal, Acellent and ART are proposing to develop technology that will allow for real-time response of the rotorcraft control system based on fatigue damage and component usage data. Being able to make maneuver and usage decisions based on real-time data and analysis can have safety implications. This innovative technology will also allow for more efficient use of the rotorcraft components based on known factors and parameters, which in turn will enable better maintenance, repair and replacement decisions that can lead to cost savings. The primary targeted market for this venture is the aircraft and rotorcraft industry (commercial and military). Another potential use of this technology is in the UAV industry where unlike in rotorcraft and aircraft, there is no pilot to make real-time decisions. This technology will allow the UAV's control system to make real-time intelligent decisions based on the actual usage and damage data. Once developed and commercialized, the system will provide the vehicle owners and maintenance personnel with real-time reliable information about the condition of the structures while in service. Such knowledge will lead to increased safety of operation, improved reliability of the structures and reduced maintenance cost through system automation. In summary, the system once in the market would improve safety and reduce maintenance cost to the owners - a win-win solution for the public and the vehicle owners/companies. Return