Development of a Multidisciplinary Curriculum for Intelligent Systems (MCIS)

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

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


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


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


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.


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.


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


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


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


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

FlowDirection

Springs

Experimental Model


AERO 405: Urica I Flying Wing AERO 405: Urica I Flying Wing (FEA Spar & Rib Von-Mises Stresses)(FEA Spar & Rib Von-Mises Stresses)


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


AERO 401/402AERO 401/402Autonomous Intelligent ReconfigurationAutonomous Intelligent Reconfiguration

Knowledge&

Feasibility

CriteriaKnowledge

Identify needs for reconfiguration

Facilitator

Structural Reconfiguration Flow Reconfiguration


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

ElectricalControl SurfacesDataFirewallSMA wires


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


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


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


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)


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


Assessment & Evaluation ResultsAssessment & Evaluation ResultsKnowledge 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 7.11Reflective 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

Documents

Development of a Multidisciplinary Curriculum for Intelligent Systems (MCIS)