1. Development of a Multidisciplinary Curriculum for Intelligent Systems Dimitris C. Lagoudas, Jeffery E. Froyd Othon K. Rediniotis Thomas W. Strganac John L. Valasek John D. Whitcomb Rita M. Caso

2. Texas A&M University Combined Research Curriculum Development http://smart.tamu.edu/CRCD

3. Texas A&M University Combined Research and Curriculum Development Project Develop new curriculum track with a certificate on Intelligent Systems. Track will consist of new courses as well as modifications of existing courses. Impact will culminate in a year long senior design course dealing with the design of intelligent systems.

4. Texas A&M University Aerospace Engineering Track in Intelligent Systems DepartmentCourse Level Course# (credit) Instructor Students Enrolled Required Elective Brief Description of Course Innovation AerospaceSoph.AERO 201 (1) Strganac 30RequiredIntroduction to Aerospace Engineering AerospaceJuniorAERO 304/306 Whitcomb/Lagoudas 20RequiredStructural Analysis Systems Engineering Junior / Senior SYEN 489 (3) Rediniotis 20Technical Elective Intelligent Structures and Systems Systems Engineering Junior / Senior SYEN 489 (3) Strganac 20Technical Elective Fluid-Structure-Control interactions AerospaceSeniorAERO 401 (3) Valasek 20RequiredAerospace Vehicle Design I AerospaceSeniorAERO 402 (2) Valasek 20RequiredAerospace Vehicle Design II Aerospace Senior Aero 404 (3) Whitcomb 20Technical Elective Mechanics of Advanced Aerospace Structures

5. Texas A&M University New Engineering Minor in Intelligent Systems DepartmentCourse LevelCourse# (credit) IStudents Enrolled Required/Elec tive Brief Description of Course Innovation Systems Engineering Junior/SeniorSYEN 489 (3) 20RequiredIntelligent Structures and Systems Systems Engineering Junior/SeniorSYEN 489 (3) 20RequiredFluid-Structure-Control Interaction Aerospace Engineering JuniorAERO 304 (4) 20ElectiveStructural Analysis of Active Systems Mechanics and Materials Senior MEMA 471 (3) Whitcomb 20ElectiveAnalysis and Design of Smart Composite Materials Aerospace Engineering SeniorAERO 401 (3) Valasek 20ElectiveAerospace Vehicle Design I Aerospace Engineering SeniorAERO 402 (2) Valasek 20ElectiveAerospace Vehicle Design II Mechanical Engineering SeniorMEEN 411 (3)40ElectiveMechanical Controls Mechanical Engineering SeniorMEEN 442 (3)40ElectiveComputer Aided Engineering of Intelligent Systems Chemical Engineering SeniorCHEN 464 (3)40ElectiveProcess Control and Instrumentation Chemical Engineering SeniorCHEN 451 (3)40ElectivePolymer Engineering Electrical Engineering SeniorELEN 476 (3)40ElectiveNeural Networks and Implementation Electrical Engineering SeniorELEN 422 (3)40ElectivePhysical Implementation of Intelligent Systems

6. Texas A&M University Activities using Smart Materials ENGR 111/112  Butterfly demonstration  Thermobile TM demonstration  Wire heat engine demonstration  Reconfigurable wing experiment  Underwater Propulsion Machine Project  Walking robot project (Stiquito) ENGR 214  Torque tube experiment  Piezoelectric beam demonstration

7. Texas A&M University Walking Robot Project Project for students in an introductory engineering class (ENGR 111/112) Robot specifications:  Must be actuated by SMAs  Goal is maximum distance in 3 minutes  Only contact can come from ground  Must be an autonomous system

8. Texas A&M University Multicultural Stiquito

9. Texas A&M University There are two primary objectives:  Let first year students gain practical experience working on the design and construction of an aerospace vehicle while working with upperclassmen.  Allow seniors to learn and develop important project management skills needed in the workplace today. ENGR 111/112 integrated with AERO 401/402

10. Texas A&M University ENGR 111/112 integrated with AERO 401/402 Possible Projects for ENGR 111/112 students  Research Similar Aircraft  Helps to develop research skills in freshman  Allows seniors to effectively manage their time on important design issues  Internal Arrangement of Systems  Helps to develop spatial thinking in freshman  Allows seniors to focus on the actual system design  Landing Gear System  Allows freshman to use basic statics to determine landing gear requirements  Also allows freshman to develop an important mechanical system in the overall design  Study of New Technologies  Lets freshman learn the new and exciting technologies in engineering  The freshman research gives seniors a chance to gain important data and use towards the design of their aircraft.

11. Texas A&M University Design Optimization of a Reconfigurable Active Wing Demonstration Model Rib with Embbedded SMA Actuators Synthetic Jet Nozzles Pressure Sensor Arrays Rib with Embbedded SMA Actuators Lagoudas, Rediniotis

12. Texas A&M University Simplified Rib Structure Model Displacement Point A Experimental: 7.0 Predicted: 9.0194 A ABAQUS Finite Element model Experimental setup (Deformed frame) Original frame shape Deformed frame SMA wire Lagoudas, Rediniotis

13. Texas A&M University Active Reconfigurable Wing : Experimental Model - Structural Concept Compression Springs Internal Support Structure SMA Wires Schematic Drawing FEM Analysis SpringsSpar SMA tensioner bolts Rib Linkage to Skin Flow Direction Springs Experimental Model

14. Texas A&M University Active Reconfigurable Wing

15. Texas A&M University Variety of Finite Element Analysis Environments Aero 306 Commercial finite element programs with integrated pre- and post- processor (eg. FEMAP) In-house codes (alpha, plot2000,...)..advantage=few options Partial differential equation solver (FlexPDE, PDEase2D, FemLab)

16. Texas A&M University Typical Output from FlexPDE

17. AERO 405 Urica I Flying Wing (Finite Element Model with Skin)

18. AERO 405 Urica I Flying Wing (FEM Spar & Rib von-Mises Stresses)

19. Texas A&M University Project Aero 302: Synthetic Jet Actuators Introduction into the classroom: AERO 302 (Aerospace Engineering Laboratory 1) Use of Hot-Wires and Fast-Response Pressure Probes to measure actuator exit velocity as a function of operating frequency

20. Texas A&M University Flow Separation Control (Wing) Without Actuation With Actuation

21. Texas A&M University Autonomous Intelligent Reconfiguration Knowledge & Feasibility Criteria Knowledge Identify needs for reconfiguration Facilitator Structural Reconfiguration Flow Reconfiguration

22. Texas A&M University Hybrid Simplex-Genetic Algorithm  Improve and Refine Existing Algorithm Hysteretic Actuators  Extend Current Actuators from SISO to MIMO Type Evaluate in Non-Laboratory Environment  Fly on UAV Testbed SMA experiment Autonomous Intelligent Reconfiguration: Structural Reconfiguration Electrical Control Surfaces Data Firewall SMA wires

23. Texas A&M University Synthetic Jet Actuator Flow Regime Expansion  Extend Low Speed Results to High Speed Regime Evaluate in Non-Laboratory Environment  Fly on UAV Testbed SJA experiment Autonomous Intelligent Reconfiguration: Flow Reconfiguration Electrical Control Surfaces Data Firewall

24. Texas A&M University URICA Family Concept In 3 Phases URICA I Increased Cost and Risk Ducted fan propulsion 120 KTAS cruise speed 2 hour endurance 120 pound payload 650 pound takeoff weight URICA I minus Low Cost, Low Risk Pusher prop propulsion 80 KTAS maximum speed 1 hour endurance 25 pound payload 205 pound takeoff weight URICA II High Cost, Higher Risk OTS Turbojet propulsion 400 KTAS maximum speed 2 hour endurance 200 pound payload 1,596 pound takeoff weight

25. Texas A&M University Flown May 1999 Tractor Configuration URICA I Subscale Demonstrator UAV

26. Texas A&M University Pusher Configuration Flown May 2000 URICA I minus Subscale Demonstrator UAV

27. Texas A&M University URICA I I Subscale Demonstrator UAV Ground Testing Completed Summer 2001 Length:77 inches Span:69 inches Height:32 inches Powerplant:0.90 Ducted Fan Max T.O. Weight:33 pounds Payload Weight: 5 pounds Empty Weight:25 pounds

28. Texas A&M University Flight Simulation Laboratory Contact Information Director Dr. John Valasek Aerospace Engineering Department Texas A&M University 3141 TAMU College Station, TX 77843-3141 (979) 845-1685 valasek@aero.tamu.edu FSL Web Page  http://flutie.tamu.edu/~fsl/

29. Texas A&M University Assessment & Evaluation PURPOSE: To determine what value the project has contributed to student learning, and how FOCI: Value added to Student Interest Value added to Student Content Knowledge Value added to Student Engineering and Design Process Learning

30. Texas A&M University Assessment & Evaluation: YEAR 1 OUTCOME MEASUREMENT (PROJECTED)