Development of a Multidisciplinary Curriculum for Intelligent Systems (mcis)



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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

Goals 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 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) Activities with Shape Memory Alloys (SMA)

  • Butterfly Demonstration: SMA Linear Actuator
  • Thermobile™ Demo: SMA Properties/ Thermodynamics
  • Stiquito Project: Application of SMA

ENGR 111 Project Walking 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 Demonstration Piezoelectric 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.

ENGR 111/112 Integrated with AERO 401/402

  • 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.

AERO 302 Project 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
  • Visualization of the effect of Synthetic Jet Actuators on airflow
  • Without Actuation With Actuation

AERO 306: 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

AERO 306: Active Reconfigurable Wing Experimental Model - Structural Concept

  • Compression Springs
  • Internal Support Structure
  • SMA Wires
  • Schematic Drawing
  • Springs
  • Spar
  • SMA tensioner bolts
  • Rib
  • Linkage to Skin
  • Flow
  • Direction
  • Springs
  • Experimental Model

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

AERO 306/405 Finite 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 401/402 Autonomous Intelligent Reconfiguration

  • Knowledge
  • &
  • Feasibility
  • Criteria
  • Knowledge
  • Identify needs for reconfiguration
  • Facilitator
  • Structural Reconfiguration
  • Flow
  • Reconfiguration

AERO 401/402 Autonomous Intelligent Reconfiguration

  • 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
  • Evaluate in Non-Laboratory Environment
    • Fly on UAV Testbed
  • Electrical
  • Control Surfaces
  • Data
  • Firewall
  • SMA wires

AERO 489: Special Topics in MEMS for Aerospace 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 Intelligent 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
  • Smart or Active Materials
    • Shape Memory Alloys
    • Piezoceramic Materials
    • Magnetostrective and Electrorheological Materials
  • Sensors and 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

AERO 489: Special Topics in Aerospace Intelligent systems – Aeroelasticity

  • Typical activities include
    • static and dynamic behavior
    • aerodynamic-structurally coupled systems
    • forced response from control systems
    • equilibrium vs. stability concepts
    • consistent measurements
    • validation and verification
  • Wing support system
  • 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 Plan Year 1 Outcome Measurement (Implemented1 and/or Projected )

  • 1 Levels at which Implemented ( i.e., F=Freshman, S=Senior)

Assessment & Evaluation Results Knowledge of Team Design Process, Teamwork & Communication1 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 course
  • 4 Scores given on a scale of 0 – 5.5, with 0=no knowledge & 5.5=exceptional knowledge

Assessment & Evaluation Results Knowledge of Team Design Process, Teamwork & Communication One Semester Improvement in Freshmen1

  • 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 2001
  • 2 Adapted TIDEE Project Mid Program Assessment Instrument #1,
  • Design Knowledge (n=88), Sept 2001
  • 3 Adapted TIDEE Project Mid Program Assessment Instrument #3,
  • Reflective Essay (n=87), Dec 2001
  • 4 Scores given on a scale of 0 – 5.5, with 0=no knowledge & 5.5=exceptional knowledge


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