Applied Optimization, Inc. proposes a three-step approach for identifying the unknown physical characteristics of a target satellite based on its multi-spectral point image. In the first step, a method is proposed for calibrating space-based passivesensors using data from tracking a Navstar… More

"Applied Optimization, Inc. proposes to develop a solution to monitor the health of the GPS Block II, IIA and IIR satellites using the LWIR and Visual Spectrum intensity tracking data obtained by a SBIRS-Low satellite. The Phase I calculations havedemonstrated that the radiometric signature for… More

Applied Optimization proposes to develop 3D Simulation of LAM, and verify its accuracy by correlating its results with microstructure data at the Boeing Phantom Works, for parts that are different from each other in terms of substrate and rib thicknesses,and build height. The simulation will model… More

Applied Optimization proposes a new midcourse discrimination algorithm to identify a RV, which is concealed in a balloon, from an empty decoy balloon, for the situation of daytime missile attack. The algorithm is based on a calculation that a sunlitballoon, when vented, will collapse by over fifty… More

Applied Optimization proposes to complete the development of 3D Simulation of Ti-6Al-4V LAM, and demonstrate the capability by comparing the simulation results with those from a series of laser deposition trials. These trials will be performed on parts that are representative of the F-15, F-22 and… More

Applied Optimization, Inc., in working with EWI, Inc. and Boeing Phantom Works, proposes to demonstrate feasibility of using friction stir welding [FSW] for the manufacturing of large Al 7050-T7451 preforms in four steps as follows. In the first step, representative preform will be generated from… More

Applied Optimization, Inc., in working with Boeing-LTS and Space Dynamics Laboratory, proposes to demonstrate that full-feature characterization of small and faint unknown RSO in real-time is feasible by using the spectral-temporal features of its signature. Time-resolved spectrometer data in the… More

Applied Optimization, Inc., in working with EWI, Inc. and Boeing Phantom Works, proposes to demonstrate application of friction stir welding [FSW] for the manufacturing of a large aluminum 7050-T7451 component that is representative of a canted bulkhead. The FSW-based redesign is lighter, makes use… More

Applied Optimization, Inc., in working with EWI, Inc., Ohio State University, and Boeing Phantom Works, proposes to demonstrate feasibility of using microstructural models to predict the required processing conditions that can produce nanostructured grain sizes in the thermo-mechanical affected zone… More

Applied Optimization, Inc. [AO] proposes to demonstrate full feature characterization of unresolved RSOs by performing spectral unmixing and time-frequency analysis of its time and spectrally resolved signature in the visible or infrared spectrum. The characterization will be performed step-by-step… More

Applied Optimization, Inc. herein proposes three technical tasks for modeling of electron-beam free-form fabrication [EBF3] as follows. The first task is to enhance existing capability to simulate melt-pool generated by the electron-beam, and evolution of its shape due to interaction between… More

Applied Optimization, Inc. proposes to demonstrate feasibility of spectral imaging using a stationary filter micro-array in an existing, operational SSA system. It will make use of the excess capacity of the existing camera, without altering the optical path of the incoming light for metrics and… More

The objective of this Phase I proposal is to demonstrate microstructure modeling and thermal control in order to achieve fatigue properties comparable to wrought material in the Ti-6Al-4V produced by direct digital manufacturing (DDM). The Phase I will begin with selection of a demonstration… More

The objective of this Phase I proposal is to demonstrate feasibility of heuristic and adaptive design for direct digital manufacturing (DDM) of Ti-6Al-4V parts using LENSTM, NDE and limited mechanical testing for achieving low-cost certification. The Phase I approach is based on the principles of… More

The research objective of the proposed work is to apply the foundational knowledge of ultrasonic bonding, metallic composites, microstructure transformation kinetics and material failure criteria to create a multi-scale simulation model for the optimization of ultrasonic additive manufacturing (UAM)… More

ABSTRACT: Applied Optimization, Inc. (AO) has developed computational process simulation for the prediction of temperature, residual stress, and melt pool control during the material feed DDM processes (e.g. LENSTM and EBFFF). The Phase I work plan is to extend this existing simulation technology… More

ABSTRACT: Applied Optimization, Inc. proposes to develop a prototype hardware and software system for concurrent collection of metric observations and single-point spectral brightness data. The concurrency will be attained by using all but a few percent of the CCD pixel array for metric… More

The first objective of this Phase II is to develop and demonstrate thermally controlled direct digital manufacturing (DDM) of Ti-6Al-4V that will have the ability to produce uniform/desired microstructure in a repeatable manner. The proposed method will be designed to provide a quasi steady and… More