Air Force sbir 04. 1 Proposal Submission Instructions



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PHASE I: The goal of the Phase I will be to determine the state-of-the-art of ADCs at the EHF range. Based on this information a study will be done to determine the signal-to-noise ratio, sampling rate, and the dynamic range necessary for the ADC to adequate handle the link requirements at the EHF frequency range. Using the results of the study a candidate array architecture design will be provided detailing how the ADC will be implemented. The effort will take into consideration how the signals will be down-converted to a usable Intermediate Frequency (IF) if the design requires to use ADC that are not achievable at EHF.
PHASE II: Based on the candidate architecture developed in Phase I, the effort will build and test a small operational prototype demonstrating the capability of the candidate ADC.
DUAL USE COMMERCIALIZATION: Commercial interest in digital arrays for communications is evolving, with a high degree of interest in the cellular systems.
REFERENCES:

1. R.H. Walden, “Analog-to-digital converter survey and analysis,” IEEE Journal on Selected Areasin Communications, vol. 17, no. 4, pp. 539-550, April 1999.


2. R.H. Walden, “Performance trends for analog-to-digital converters,” IEEE CommunicationsMagazine, vol. 37, no. 2, pp. 96-101, February 1999.

KEYWORDS: Multiple Beams, Phased Arrays, Analog to Digital (A/D) Converters, EHF, Sub-Arrays, Digital Signal Processing.

AF04-241 TITLE: Verification of Coldworking and Interference Levels at Fastener Holes
TECHNOLOGY AREAS: Materials/Processes
OBJECTIVE: Develop a technique for determining the residual stresses at coldworked fastener holes and at interference fit fasteners.
DESCRIPTION: The residual stresses that result from coldworking a hole, or using an interference-fit fastener, can significantly increase the life of a structure subjected to fatigue loading. Manufacturing tolerances cause variability in the effectiveness of coldworking holes and interference fit fasteners. Furthermore, there are no inspection techniques to ensure that every fastener hole has been properly worked. Hence, the beneficial effects of coldworking holes and interference fit fasteners are not accounted for in the structural integrity analyses used to determine when to inspect aircraft structure for cracks. A technique for measuring the residual stress around a coldworked hole or interference fit fastener, and ensuring that the beneficial stresses are there, would allow the benefits of coldworking to be accounted for when establishing inspection intervals for critical locations. These time between inspections could be increased resulting in less aircraft downtime. Accurate measurement of residual stresses is difficult in a textured materials such as wrought aluminum with current methods such as x-ray diffraction. Current techniques are not readily deployed to the field. And the time required to make a measurement is not compatible with a maintenance operation.
PHASE I: Demonstrate that the proposed technique can differentiate between holes in aluminum and titanium plate that have been cold expanded different amounts. Establish the accuracy and resolution of the technique. Show that the proposed technique is suitable for use on and around aircraft in a maintenance environment in terms of safety, measurement time and system portability.
PHASE II: Develop prototype system for use on and around aircraft. Establish the accuracy and resolution of the prototype system in the relevant environment. Explore the capability of the prototype system to measure residual stresses from other sources such as fit-up or shot peening.
DUAL USE COMMERCIALIZATION: Residual stresses are found in many different types of structures. Residual stresses can be beneficial or deleterious. A field deployable method for determining the magnitude of residual stresses would be useful for chemical plants and pipelines, ship building, ground vehicles, as well as aviation.
REFERENCES: 1. Split Sleeve Cold Expansion, Fatigue Technology Inc., http://www.fatiguetech.com.
2. Residual Stress Division, Society of Experimental Mechanics, http://www.sem.org/td_517.htm.
KEYWORDS: Residual Stresses, Coldworked Holes, Interference Fit Fasteners, Welding, Structural Integrity, Fatigue, Fracture

AF04-242 TITLE: Comprehensive Structural Health Monitoring (SHM) System


TECHNOLOGY AREAS: Air Platform
OBJECTIVE: Develop data-adaptive signal analysis techniques for SHM of air vehicles without stationary and Gaussian assumptions.
DESCRIPTION: The Air Force needs to localize structural damage in an automated manner, thereby enabling the use of integrated SHM systems in future generations of air and space vehicles. There are several Air Vehicles Directorate efforts to reduce development time for new air and space vehicle design through increased use of modeling and simulation technologies. Achieving these needs results in innovative designs in extreme environments. Consequently, the Air Force needs to perform additional health monitoring and management to detect structural and thermal protection system damage in extreme environments. In particular, structural health management of aerospace vehicles would benefit greatly from new data analysis techniques to identify incipient damage while the vehicle is prepared for its next flight. Current maintenance strategies and analysis techniques detect and compensate for damage hot spots as they are observed in practice, but they are too expensive, time-consuming, and insensitive to detect damage in an automated manner. These difficulties motivate the use of distributed sensor arrays to detect local damage. However, the leading-edge algorithms currently used to process structural health data are not designed to handle efficiently the large quantity of data obtained from large array of sensors. The problems are compounded by the continued use of aging aircraft in new or expanded operational envelopes, which has proven to be a constant source of new fatigue and failure modes. Current fatigue prediction and damage detection methods have not kept pace with these increasing performance requirements and the use of new materials, nor with the need to use aircraft beyond their designed service lives. These considerations highlight the pressing need for innovative analysis techniques to facilitate the intelligent use of health monitoring data. This data typically will be sampled non-stationary and non-Gaussian time histories-from sensors obtained from limited experiments, flight tests and operational use. Traditional Fourier analysis models are inappropriate, since they require stationary data.
Recent wavelet signal processing developments may overcome these problems. The power of wavelets is that they capture local scale activity in data. Donoho, Mallat, and von Sachs offer a method for finding a locally stationary wavelet transform model. Attention is focused on local features in the data while simultaneously retaining a spectral description that is not predicated on the stationary assumption. Suter's work presents a framework for studying non-stationary issues. Transient-detection algorithms based on these adaptive signal processing concepts could be used to detect automatically any large transient loads so as to provide an accurate statistical characterization of the extreme load history experienced by a structure. Furthermore, recent developments in SHM technologies and data analysis based on adaptive signal processing techniques demonstrate that an array of embedded sensors could facilitate the localization of cracks, delaminations, and impact events without expensive and potentially damaging disassembly of the structure for traditional inspections. Signal processing techniques in addition to wavelets can be considered.
PHASE I: Demonstrate the feasibility for applying distributed health-monitoring systems to future Air Force vehicles. New techniques to evaluate include (1)developing wavelet-based adaptive signal processing techniques for processing and extracting information from non-stationary and non-Gaussian sensor time histories,(2)improving understanding of wavelet signal processing using realistic models and improved wavelet-based adaptive signal processing algorithms,(3)developing a quantitative measure of local stationarity,(4)understanding data compression techniques that enable the use of distributed health-monitoring systems,(5)formulating adaptive signal processing techniques for detecting and localizing multiple flaws in simple structural components, and (6)developing a computer-based testbed for examining various sensor layouts and damage detection methods.
PHASE II: Perform experiments to demonstrate the feasible techniques identified in Phase I. Prepare and test a prototype system for detecting and localizing multiple flaws in simple structural components in the laboratory or on a flight vehicle.
DUAL USE COMMERCIALIZATION: The aviation industry, gas pipeline industry, materials industry, automotive industry and any commercial application where acoustic or vibration fatigue impact a product's lifetime all require the analysis of non-stationary, non-Gaussian data. The new techniques enhance use of structural health data to predict and design future military spacecraft, aircraft, naval vessels, wind tunnels and ground vehicles.
REFERENCES: 1. Pettit, C.L., Jones, N.P., and Ghanem, R., "Detection, Analysis, and Simulation of Roof-Corner Pressure Transients," 10th International Conference on Wind Engineering, Copenhagen, 1999.
2. Donoho, D.L., Mallat, S., and von Sachs, R., "Estimating Covariances of Locally Stationary Processes: Rates of Convergence of Best Basis Methods," Technical Report No. 517, Department of Statistics, Stanford University, 1998.

3. Suter, B. W., Multirate and Wavelet Signal Processing, Academic Press, San Diego, CA, 1998.


4. Ikegami,R., Haugse, E., Trego, A., Rogers, L., and Maly, J., Structural Technology and Analysis Program (STAP) Delivery Order 004: Durability Patch, AFRL-VA-WP-TR-2001-3037, 2001. ADA408003(Available full text at: http://handle.dtic.mil/100.2/ADA408003)
KEYWORDS: Localize Structural Damage, Integrated Structural Health Monitoring, Distributed Sensors, Wavelets,

Non-Stationary, Non-Guassian, Time History

AF04-243 TITLE: System Engineering -- Thermal/Power- Efficiency Assessments of Air Vehicles
TECHNOLOGY AREAS: Information Systems
OBJECTIVE: Develop system engineering relationships and models for performing thermal/power-efficiency assessment of emerging advanced air vehicle designs.
DESCRIPTION: Effective and timely assessments of total thermal and power energy management is critical to the design and eventual cost-effective deployment of emerging air vehicles. Vehicles designed without appropriately taking these issues into account results in vehicles with sub-optimal performance, cost and weight. Existing analytical tools do not incorporate the capability to complete system-level analysis and vehicle level impacts. They cannot support timely system level optimization requisite for roll up from the subsystem to the vehicle level. Expanding current theories, integration framework, modeling techniques and possibly fundamental methodologies including energy-based integration, thermo-economics or exergy analysis may be required for realization of these goals for advanced air vehicle trends. Some of these emerging trends are on-vehicle directed-energy weapons, extremely slow long-loiter-time vehicles that burn fuel at extremely low rates, onboard energy storage systems that transform energy into different forms for temporary storage, extremely small vehicles, and vehicles with no onboard liquids other than fuel. The technique and models should be such that they can be used to model normal behavior of these subsystems and also failed conditions or other abnormalities in which nonlinear and/or second-order effects come into play. Additionally, the subsystem-to-vehicle relationship models must be easily changed as the need arises by personnel who are not experts in computer codes.
PHASE I: The R&D effort in this phase is to identify and evaluate the required expansion of current theories, integration framework, modeling techniques and fundamental methodologies for identify and evaluate emerging air vehicle trends and to develop a limited set of parametric or other relationships that relate subsystem characteristics to vehicle level metrics. Secondly, identify and provide rationale for the most appropriate modeling techniques that can handle both nominal and failure-induced degraded performance for timely trade studies and assessments. The feasibility of these techniques will be demonstrated by the integration of these techniques into existing analysis programs.

PHASE II: In this phase, a prototype trade study and assessment capability for air vehicles will be developed and demonstrated.


PHASE III DUAL USE APPLICATIONS: This analysis and assessment capability will be useful for design of military and commercial air vehicle. The analysis capability developed in this topic would be applicable to all types of vehicles that employ engines that burn fuel vehicles such as aircraft, trucks, automobiles, and ships. The availability and application of the research results from this topics should enable the design of more efficient vehicles.
REFERENCES:

1. Hodges, Ernest and Gickstein, Marvin, “Thermal System Analysis Tools (TSAT),” AFRL-PR-WP_TR-2002-2013, 1 January 2002, ADA404721.

2· Gambill, J.M., D.E. Claeys, H.M. Matulich, D.S., and Weiss, C.F., “Integrated Aircraft Thermal Management and Power Generation,” SAE paper # 932055, 23rd International Conference on Environmental Systems, Colorado, Springs, CO, 12-15 July 1993.

3· Bejan, Adrian, “A Role for Exergy Analysis and optimization in Aircraft Energy-System Design,” ASME International Mechanical Engineering Congress, Nashville, TN, 14-19 November 1999.


KEYWORDS: modeling and simulation, system engineering, thermal system analysis, advanced air vehicles, subsystems.

AF04-244 TITLE: Flow Control for Enhanced Sensor Beam/Directed-Energy (DE) Beam Quality


TECHNOLOGY AREAS: Air Platform
OBJECTIVE: Develop a clear understanding of the mechanisms (and how to control those mechanisms) responsible for electromagnetic beam quality degradation as it passes through a turbulent shear layer.
DESCRIPTION: There exists a generic need for improvement of the range and clarity of electro-optic sensing/targeting systems. For the military, these sensors are used for strategic and tactical surveillance, identification and targeting of threats, and battle damage assessment. Next-generation active laser radar (LADAR) seekers are capable of producing high-resolution, three- dimensional imagery. New vibration spectrum laser sensors promise aspect invariant results, and represent the only target identification (ID) technique that is not tied to making a spatial measurement or comparison of features, which typically drives sensor resolution requirements. Both these new imaging/ID techniques (in fact, any technique which relies on the propagation of images or light) can benefit greatly from reduced aero-optical distortion as their laser beam passes through the aircraft near-field. The limiting performance factor for advanced vibration sensing is the energy received on target, not the target’s size or geometry. This is, of course, the same figure of merit for new advanced DE weapons. Shear layers adjacent to aircraft bodies greatly degrade both image clarity (distorted wave front) and wave-front intensity. Early flight test data on KC-135 and Lear Jets demonstrated marked laser intensity decrease as a beam passed through the aircraft boundary layer, with losses ranging from 20 percent up to 60 percent (losses increased with decreasing altitude and increasing speed).
In aero-optical interactions between a propagating optical beam and a turbulent flow region, the resulting wave front degradation can be loosely described as having two causes. The first cause is small-amplitude, long-time-scale density variations accumulated over long propagation distances through the atmosphere. This cause of wave-front distortion can be dealt with using deformable-mirror adaptive optics techniques in a feedback control loop. The second cause of degradation, propagation through near-field boundary layers and shear layers, is characterized by very short time scales, which do not allow the use of adaptive optics. For DE systems, such as airborne laser (ABL), the second (boundary layer) problem was minimized by judicious placement of the beam director, and by flying at slower speeds and higher altitudes. Tactical vehicles, which fly at much lower altitudes and higher speeds, and which are volume constrained, do not have the same options as ABL for dealing with wave-front distortion.

Recent advances in the application of active flow control to shear layers offers hope that a solution to shear layer wave-front distortion can be found. It is expected that offerors will be familiar with both low frequency and high frequency types of flow control actuators, and will be prepared to investigate the effects of both types. Simulation and modeling efforts are also encouraged (for questions of scaling), with the caveat being that high-frequency forcing is currently out of reach for most practical computational fluid dynamics (CFD) techniques. The technical areas to consider, but not limited to, shall include the following: principles of active flow control for management of beam degradation, development of improved methods of measuring and predicting beam degradation both in simulated wind tunnel tests as well as in flight, development of practical shear layer aero-optical degradation solutions, designs to improved tests for measuring beam degradation in optical turret/apertures integrated aboard modern aircraft, and development of simulation and modeling/CFD prediction tools for enhanced laser beam propagation.


PHASE I: Define the proposed concept, outline the basic principles, and establish the method of solution. Present an example of the advanced performance that will result from the technology. Determine the risk and extent of improvement over existing methods.
PHASE II: Build a prototype application of the equipment or software. Demonstrate the advanced technology under actual engineering conditions or demonstrate under simulated flight conditions.
DUAL USE COMMERCIALIZATION: High-payoff military applications include LADAR and vibration spectrum sensor range enhancement, with these technologies impacting most near term platforms. This technology could also be a crucial enabler for the tactical application of DE weapons. Examples of potential commercial applications include, law enforcement (suspect monitoring, tracking vehicles involved in crime, DE disabling of cars, boats, etc.), sensing for air and sea rescue, long distance monitoring of hostile political situations, etc.).
REFERENCES: 1. McMichael, J.M, "Progress and Prospects for Active Flow Control Using Microfabricated ElectroMechanical Systems (MEMS)," AIAA Paper 96-0306, January 1996.
2. Ho, C.H., and Tai, Y.C., “Review: MEMS and its Applications for Flow Control,” ASME Journal of Fluids Engineering, Vol. 118, September 1996.
3. Gad-el-Hak, M., “Modern Developments in Flow Control”, Applied Mechanics Reviews, Vol. 49, pp. 365-379, 1996.
4. Stanek, M. J., Raman, G., Kibens, V., Ross, J. A., Jessaji, O., and Peto, J. W., “Control of Cavity Resonance Through Very High Frequency Forcing,” AIAA Paper 2000-1905, 6th AIAA/CEAS Aeroacoustics Conference, June 2000.
5. Stanek, M. J., Sinha, N., Seiner, J.M., Pearce, B., and Jones, M. I., “High Frequency Flow Control – Suppression of Aero-Optics In Tactical Directed Energy Beam Propagation & The Birth of a New Model (Part I),” AIAA 2002-2272, 33rd AIAA Plasmadynamics & Lasers Conference, May 2002.
KEYWORDS: Flow Control, Active Flow Control, High Frequency Flow Control, Aero-optic Distortion, Boundary Layer Perturbation, Shear Layer Perturbation, Wave-front Distortion, Strehl Loss, MEMS – Microelectromechanical Systems, Coherent Structure, Sensor

AF04-245 TITLE: Exergy–Based Design and Analysis for Optimization of Aerospace Components and Systems


TECHNOLOGY AREAS: Air Platform
OBJECTIVE: Develop the second–law of thermodynamics for system and sub–system–level integration and optimization, including the effects of turbulence.

DESCRIPTION: Deployment of future aerospace systems will require an intensive system–level integration of components to meet the urgent need at all system levels to minimize the risk and costs. The growing complexity of aerospace systems and the resulting increase in susceptibility to failure due to improperly design–integrated components, dictate a critical need for improved analysis and optimization methods for predicting, evaluating, and optimizing performance [1]. Traditionally, air vehicle analysis and design has relied almost exclusively on extensive trade studies and very costly prototype development of complete aircraft systems that provide only limited insight. The numerous combinations of test parameters required for an overall system–level analysis make complete testing of complex configurations prohibitively expensive if not impossible due to lack of ground–testing facilities capable of replicating critical trajectory regimes. A new approach based on extending the second–law of thermodynamics for complex systems–level analysis has emerged [2]. A computer–based system level simulation and analysis capability based on the concept of work–potential loss (exergy) could conceivably minimize ground–based testing and substantially reduce certification time and costs, as has been proposed for integrating turbine engine analysis and design [2]. While component level computational analysis techniques are well developed and understood, the same is not true for system level analysis where multiple physical phenomena are present and contribute to work–potential losses. Research is needed to bridge the gap between component level and system (e.g., aircraft) level aero–thermodynamic phenomena to more clearly ascertain the applicability and feasibility of an exergy–based approach. Knowledge gained from this research can then be applied toward the development of high–fidelity system-level analysis techniques that can be used to streamline the analysis, design, and optimization process.


PHASE I: To establish the applicability and feasibility of an advanced exergy–based design analysis capability for realistic thermal systems. The required analytical models should be derived at this stage, and the solution of the models should be demonstrated for selected aerospace components and/or systems. Since most thermodynamic systems of interest involve turbulent flows, the Phase I project must address the incorporation of turbulence. It is anticipated that high–fidelity computational design and analysis tools will incorporate the methodology developed.
PHASE II: Development, validation, and incorporation of the entropy–production model into a production–level software tool for aero–thermodynamic analyses of realistic aerospace systems and components.
DUAL USE COMMERCIALIZATION: Phase III military application is aimed at the full integration of aircraft system in the preliminary design, analysis, and optimization phase. This includes but not limited to engine–airframe integration, lifting surface–structure integration, etc. Commercial applications apply to any system or sub–system level analysis, design, and optimization where minimized work–potential losses and maximum performance effectiveness are desired. This includes heat exchangers, cooling sub–systems, etc.
REFERENCES: 1. A. Bejan, Entropy–Generation Minimization, CRC Press, 1999.
2. Roth, B. A., A Theoretical Treatment of Technical Risk in Modern Propulsion System Design, doctoral dissertation, Georgia Institute of Technology, Atlanta GA, May 2000. http://www.asdl.gatech.edu/staff/pdf/roth_thesis.pdf
3. Moorhouse, D. J., “A Proposed System–Level Multidisciplinary Analysis Technique Based on Exergy Methods,” AIAA Paper No. 2000–4850.

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