Lecture 1: Course Overview

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Lecture 1Course Overview

• Chris Paredis
• G.W. Woodruff School of Mechanical Engineering
• Manufacturing Research Center
• Georgia Institute of Technology

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Lecture Overview

• Goal of the Lecture
• To define the frame of reference and expectations
  for the course
• Who am I?
• What is this course about?
• Course Logistics
• What is a Model? --- if there is time left

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Chris Paredis
Sections A C
E-mail chris.paredis_at_me.gatech.edu

• Programming Languages
• Matlab 20 years, expert
• C 7 years, good
• Java 3 years, intermediate
• FORTRAN 2 years, rusty
• Class
• Sophomore (faculty for me)
• Co-op
• N/A (name type of company)
• Hobbies
• Piano, squash, good food
• I'm originally from Hasselt in Belgium but have
  lived in the US since 1989

Call me Chris
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What is this Course About?

• Computing Techniques. More specifically
• Solving Engineering Problems using a Computer
• You will learn to
• Formulate engineering problems in terms of models
• Solve the problems using algorithms
• Implement the models and algorithms in Matlab
• Interpret the results

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Model-Based Problem Solving
Statics
GaussElimination
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Example Problems in Engineering Design
ME 1770
Define Solution Alternative
Curve Fitting
Interpolation
Formulate Model
Algebraic, Differential Eq.
Evaluate Solution Alternative
Formulate Experiment
Linear Equations
Solve
Root Finding
Select Solution Alternative
Integration
ODE solving
FEM
Optimization
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Homework Theme Design of a Drivetrain

• HW1-2 Visualization Modeling
• Visualizing fuel consumption
• Modeling a Drivetrain
• HW 3-4 Root Finding
• Solve algebraic equations a Torque Converter
• HW 5 Curve Fitting Interpolation
• Create a model of an engine
• HW 6 Numerical integration
• Computing the fuel efficiency of a car
• HW 7-8 ODEs
• Simulate the fuel consumption of a car
• HW 9 Optimization
• Use optimization to determine the shift
  velocities for efficient driving

How can we design the drivetrainto make the car
fuel efficient?
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Course Logistics

• 3 Teachers Drs. Hahn, Rosen, Paredis
• 8 Teaching Assistants / Graders
• TA office hours in West Commons area of the
  Library
• Book Software
• Numerical Methods for Engineers by Chapra and
  Canale
• Matlab (version 6.1 or later) -- best also a
  Matlab reference book
• Pre-requisite
• CS1321, CS1371 or equivalent
• Grading
• HW 51 MT1 12 MT2 12 Final 25
• Honor Code Policy
• Collaboration Policy
• HW0 Who are you? DUE ON FRIDAY

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Questions?
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What is a Model?

• Examples of Models
• What do these examples have in common?

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Examples of Models in Vehicle Design
Computational Fluid Dynamics
Stress Analysis
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What is a Model?

• Definition (based on Marvin Minsky's definition)
  
• A model (M) for a system (S) and an experiment
  (E) is anything to which E can be applied in
  order to answer questions about S
• A model is an abstraction of reality

Who has create a new model today?
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How Do We Create Models?

• Gather data about real system
• Postulate hypotheses about the relationships in
  the data
• Formalize these hypotheses in models
• Validate models by performing simulations
• If necessary, modify the hypotheses and models
  until valid
• (Adapted from F. Cellier)

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A Quick AsideWhen is a Model Valid?

• Is this model valid?

f(x)
x
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Unanticipated Phenomena May Invalidate Model
Tacoma Narrows Bridge, Nov 7, 1940.
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Examples of Models in Vehicle Design
Computational Fluid Dynamics
Stress Analysis
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Manufacturing Simulation

• DFM DFA DFX
• Take life cycle cost into account at the design
  stage

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Training Simulators

• Use the previously developed simulation models
  for training
• Train operators before prototypes are built
• Test whether user interface is user-friendly

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Immersive Environments

• Allow user to interact with models through
• 3-dimensional vision
• Touch (tactile interface)
• Complete virtual prototype

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If a picture is worth 1000 words,how about a
simulation?

• Summary
• We all create and use models all the time
• In science, models are formalized and validated
• In engineering, models are used for evaluation,
  training, documentation.
• In this class you will use models to solve
  engineering problems