development of a multidisciplinary curriculum for intelligent systems (mcis) dimitris c. lagoudas ...
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Development of a Multidisciplinary Curriculum for Intelligent Systems
(MCIS) Dimitris C. Lagoudas Jeffery E. Froyd Othon K. Rediniotis Thomas W. Strganac John L. Valasek John D. Whitcomb Rita M. Caso
http://smart.tamu.edu/CRCD
Texas A&M University
Goals of MCIS Effort at TAMUGoals of MCIS Effort at TAMU
Develop new curriculum track on Intelligent Systems emphasizing aerospace technologies.
Increase knowledge and interest in using smart materials to design intelligent systems.
Include a 2 semester design course and a one-on-one directed studies course with a faculty member.
Offer an “Intelligent Systems Track” Certificate.
15 hour program
Includes recognition on transcript
URICA and design team
Synthetic Jet Actuator
Texas A&M University
Courses ImpactedCourses Impacted
AERO 101 – Introduction to Aerospace Engineering (F01)
ENGR 111/112 – Foundations of Engineering I/II (F01/S02)
ENGR 211/213/214 –Basic engineering science courses (S02, F02)
AERO 302 – Aerospace Engineering Laboratory I (S02)
AERO 304/306 – Structural Mechanics I/II (F01, F02)
AERO 401/402 – Senior design sequence (F03, S04)
AERO 405 – Aerospace Structural Design (F01)
AERO 489* – Special Topic: MEMS for Aerospace Engineering (F01)
AERO 489* – Special Topic: Aerospace Intelligent Systems (S02)
*New Course
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Foundations of Engineering (ENGR 111/112) Foundations of Engineering (ENGR 111/112) Activities with Shape Memory Alloys (SMA)Activities with Shape Memory Alloys (SMA)
Heat Engine Demo:SMA Efficiency/Thermodynamics
Butterfly Demonstration:SMA Linear Actuator
Thermobile™ Demo:SMA Properties/Thermodynamics
Stiquito Project:Application of SMA
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ENGR 111 Project ENGR 111 Project Walking RobotWalking Robot
Robot (Stiquito) specifications: Must be actuated by SMAs Goal is maximum distance in 3
minutes Only contact can come from
ground Must be an autonomous system
Assigned to 24 four-person student teams in ENGR 111
Maximum distance traveled was 48cm.
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ENGR 11x/21x DemonstrationENGR 11x/21x DemonstrationPiezoelectric Beam DemoPiezoelectric Beam Demo
Demonstration for Freshman/Sophomore to show the basic function of a piezoelectric patch
Beams with patches and amplifier
Planned Setup
Piezo patch
Shaker
Piezoelectric patches will be used to cancel a known vibration.
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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 111/112ENGR 111/112Integrated with AERO 401/402Integrated with AERO 401/402
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AERO 302 Project AERO 302 Project Synthetic Jet ActuatorsSynthetic 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
Visualization of the effect of Synthetic Jet Actuators on airflow
Without Actuation With Actuation
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AERO 306: Design Optimization of a AERO 306: Design Optimization of a Reconfigurable Active Wing Demonstration ModelReconfigurable Active Wing Demonstration Model
Rib with Embbedded SMA Actuators
Synthetic Jet Nozzles
Pressure Sensor Arrays
Rib with Embbedded SMA Actuators
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AERO 306: Active Reconfigurable Wing AERO 306: Active Reconfigurable Wing Experimental Model - Structural ConceptExperimental Model - Structural Concept
Compression SpringsInternal Support StructureSMA Wires
Schematic Drawing
FEM Analysis
S M A W ire s S p r in g E le m e n ts
F ix e d B C ’s
S M A W ire s S p r in g E le m e n ts
F ix e d B C ’sSprings Spar
SMA tensioner boltsRib
Linkage to Skin
Flow
Direction
Springs
Experimental Model
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AERO 405: Urica I Flying Wing AERO 405: Urica I Flying Wing (FEA Spar & Rib Von-Mises Stresses)(FEA Spar & Rib Von-Mises Stresses)
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AERO 306/405AERO 306/405Finite Element Analysis EnvironmentsFinite Element Analysis Environments
Three Alternatives Commercial finite element programs with integrated pre- and post-processor
Examples: FEMAP Advantages: tested, reliable, flexible Disadvantages: multiple options, steep learning curve
In-house codes Examples: alpha, plot2000 Advantages: few options, shallow learning curve Disadvantages: lower reliability, less flexibility
Partial differential equation solver (FlexPDE, PDEase2D, FemLab) Examples: FlexPDE, PDEase2D, Femlab Advantages: great flexibility, customization Disadvantages: slower execution due to non-optimized code
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AERO 401/402AERO 401/402Autonomous Intelligent ReconfigurationAutonomous Intelligent Reconfiguration
Knowledge&
Feasibility
CriteriaKnowledge
Identify needs for reconfiguration
Facilitator
Structural Reconfiguration Flow Reconfiguration
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SMA experiment
SJA experiment
Hybrid Simplex-Genetic Algorithm Improve and Refine Existing Algorithm
Hysteretic Actuators Extend Current Actuators from SISO to MIMO Type
Synthetic Jet Actuator Flow Regime Expansion Extend Low Speed Results to
High Speed Regime
Evaluate in Non-Laboratory Environment Fly on UAV Testbed
AERO 401/402AERO 401/402 Autonomous Intelligent Reconfiguration Autonomous Intelligent Reconfiguration
Electrical
Control Surfaces
Data
Firewall
SMA wires
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AERO 489: Special Topics in MEMS for AERO 489: Special Topics in MEMS for Aerospace EngineeringAerospace Engineering FABRICATION Photolithography Wet and dry etching Oxidation, nitridation Evaporation, sputtering Electrodeposition CVD, LPCVD, PECVD Surface micromachining Bulk micromachining
THEORY Scaling laws Electrostatics, capacitive devices Magnetostatics, inductive devices Surface tension Fluid mechanics Electro-fluid mechanics Adaptive Microscope Lens
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AERO 489: Special Topics in Aerospace AERO 489: Special Topics in Aerospace Intelligent systemsIntelligent systems
Basics of Aerodynamics, Structures and Controls
Fundamentals of Fluid Motion and Aerodynamics
Fundamentals of Structural Mechanics Fundamentals of Systems Control
Experimental Techniques in Fluids and Structures
Data-Acquisition Fundamentals Intelligent Flow Diagnostics Intelligent Structures Monitoring
Smart or Active Materials Shape Memory Alloys Piezoceramic Materials Magnetostrective and Electrorheological
Materials Sensors and Actuators
Conventional Sensors and Actuators in Aerospace Engineering
Intelligent Sensors Smart material Actuators
Intelligent Systems in Flow Control Passive Flow Control Techniques Active Flow Control Techniques Synthetic Jet Technology in Flow Control Traveling Waves and Skin Friction Reduction
Biomimetics in Aerospace Engineering Fundamentals of Fish Swimming Fundamentals of Bird Flight Biomimetic Underwater Vehicles Flapping-Wing Uninhabited Air Vehicles
(UAV) Micro Air Vehicles (MAV) Lotus Leaves and Hydrodynamic Skin
Friction Reduction Intelligent Techniques in Systems Modeling
Artificial Neural Networks Fuzzy Logic Multiresolution Analysis Proper Orthogonal Decomposition
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Typical activities include static and dynamic behavioraerodynamic-structurally coupled systemsforced response from control systemsequilibrium vs. stability conceptsconsistent measurementsvalidation and verificationWing support system
AERO 489: Special Topics in Aerospace AERO 489: Special Topics in Aerospace Intelligent systems – AeroelasticityIntelligent systems – Aeroelasticity
Objectives Examine the interdependence of engineering disciplines
such as aerodynamics, structural, and control Examine the contributions of design concepts that
employ “intelligent systems” such as distributed controllers, active materials, and flow control.
Illustrate behavior via benchmark experiments.
Multi-control surface wing in 2x3 wind tunnel
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Assessment and Evaluation PlanAssessment and Evaluation PlanYear 1 Outcome MeasurementYear 1 Outcome Measurement((ImplementedImplemented11 and/or Projected )and/or Projected )
FOCUS STUDENT OUTCOME MEASUREMENT Interest
Retention in Major Pre-Post Attitude Survey results (F) Enrollment in Project courses Targeted class activities feedback (F)
Content Knowledge
Targeted parts of class-embedded tests, assignments & projects
Engineering & Design Process Skills
Design Knowledge baseline pre-test (F ,S) Engineering / Design Process Performance
assessment (F) Design Product assessment
1 Levels at which Implemented ( i.e., F=Freshman, S=Senior)
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Assessment & Evaluation ResultsAssessment & Evaluation Results
Knowledge of Team Design Process, Teamwork & CommunicationKnowledge of Team Design Process, Teamwork & Communication11
Freshmen vs. Seniors (Baselines -- Beginning Fall 2001 Samples)Freshmen vs. Seniors (Baselines -- Beginning Fall 2001 Samples)
AERO CRCD Students
0—5.5 Scale Design Process
Team Work
Communication
Freshmen2
(n=88)
Mean Scores 4 2.72 2.65 1.76
Std. Dev. 11.27 9.17 7.11
Seniors3
(n=23)
Mean Scores 3.30 2.30 2.04
Std. Dev. 11.46 7.94 8.52
1 Adapted TIDEE Project Mid Program Assessment Instrument #1, Design Knowledge 2 Members of one ENGR 111 class which utilized AERO CRCD Project curriculum 3 Members of AERO Senior Design course4 Scores given on a scale of 0 – 5.5, with 0=no knowledge & 5.5=exceptional knowledge
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Assessment & Evaluation ResultsAssessment & Evaluation Results
Knowledge of Team Design Process, Teamwork & Knowledge of Team Design Process, Teamwork &
Communication One Semester Improvement in FreshmenCommunication One Semester Improvement in Freshmen11
Design Assessment Instruments
0—5.5 Scale Design Process
Team Work
Communication
Team Design Knowledge Pre-Test2
(Sept. 2001)
Mean Scores4 2.72 2.65 1.76
Std. Dev. 11.27 9.17 7.11
Reflective Essay on Team Design Experience-Based Knowledge3
(Dec. 2001)
Mean Scores 3.49 3.45 3.29
Std. Dev. 8.09 6.93 7.34
1 Members of one ENGR 111 class which utilized AERO CRCD Project curriculum, Fall 20012 Adapted TIDEE Project Mid Program Assessment Instrument #1, Design Knowledge (n=88), Sept 20013 Adapted TIDEE Project Mid Program Assessment Instrument #3,
Reflective Essay (n=87), Dec 20014 Scores given on a scale of 0 – 5.5, with 0=no knowledge & 5.5=exceptional knowledge