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.

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Development of a Multidisciplinary Curriculum for Intelligent Systems (MCIS)

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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


Goals of mcis effort at tamu

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

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

Foundations of Engineering (ENGR 111/112) Activities with Shape Memory Alloys (SMA)

Butterfly Demonstration:SMA Linear Actuator

Heat Engine Demo:SMA Efficiency/Thermodynamics

Thermobile™ Demo:SMA Properties/Thermodynamics

Stiquito Project:Application of SMA


Engr 111 project walking robot

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

Piezo patch

Shaker

ENGR 11x/21x DemonstrationPiezoelectric Beam Demo

  • Demonstration for Freshman/Sophomore to show the basic function of a piezoelectric patch

Planned Setup

  • Piezoelectric patches will be used to cancel a known vibration.

Beams with patches and amplifier


Engr 111 112 integrated with aero 401 402

ENGR 111/112Integrated 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

Without Actuation With Actuation

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


Aero 306 design optimization of a reconfigurable active wing demonstration model

AERO 306: Design Optimization of a Reconfigurable Active Wing Demonstration Model

Synthetic Jet Nozzles

Pressure Sensor Arrays

Rib with Embbedded SMA Actuators

Rib with Embbedded SMA Actuators


Aero 306 active reconfigurable wing experimental model structural concept

SMA Wires

Internal Support Structure

Compression Springs

Linkage to Skin

Springs

Spar

Springs

Flow

Direction

Rib

SMA tensioner bolts

AERO 306: Active Reconfigurable Wing Experimental Model - Structural Concept

Schematic Drawing

FEM Analysis

Experimental Model


Aero 405 urica i flying wing fea spar rib von mises stresses

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


Aero 306 405 finite element analysis environments

AERO 306/405Finite 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

Identify needs for reconfiguration

Knowledge

&

Feasibility

Knowledge

Criteria

Facilitator

Structural Reconfiguration

Flow

Reconfiguration

AERO 401/402Autonomous Intelligent Reconfiguration


Aero 401 402 autonomous intelligent reconfiguration1

Electrical

Control Surfaces

Data

Firewall

SMA wires

SMA experiment

SJA experiment

AERO 401/402 Autonomous Intelligent Reconfiguration

  • 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 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

AERO 489: Special Topics in MEMS for Aerospace Engineering

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

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

AERO 489: Special Topics in Aerospace Intelligent systems


Aero 489 special topics in aerospace intelligent systems aeroelasticity

AERO 489: Special Topics in Aerospace Intelligent 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.

  • 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

Multi-control surface wing in 2x3 wind tunnel

Wing support system


Assessment and evaluation plan year 1 outcome measurement implemented 1 and or projected

Assessment and Evaluation PlanYear 1 Outcome Measurement(Implemented1and/or Projected )

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


Development of a multidisciplinary curriculum for intelligent systems mcis

Assessment & Evaluation ResultsKnowledge of Team Design Process, Teamwork & Communication1Freshmen vs. Seniors (Baselines -- Beginning Fall 2001 Samples)

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


Development of a multidisciplinary curriculum for intelligent systems mcis

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

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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