Systems Realization Laboratory Lecture 1: Course Overview Chris Paredis G.W. Woodruff School of Mechanical Engineering Manufacturing Research Center Georgia Institute of Technology

Systems Realization Laboratory 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

Chris Paredis 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 Sections A & C Call me Chris…

Systems Realization Laboratory 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

Systems Realization Laboratory Model-Based Problem Solving General Problem General Model Specific Model Specific Problem General Algorithm Specific Solution formalized by solved_by generates formalized by solved_as maps_to instantiated as Statics Gauss Elimination

Systems Realization Laboratory Example Problems in Engineering Design Define Solution Alternative Evaluate Solution Alternative Select Solution Alternative Formulate Model Formulate Experiment Solve ME 1770 Curve Fitting Interpolation Linear Equations Root Finding Integration ODE solving Algebraic, Differential Eq. FEM Optimization

Systems Realization Laboratory 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 drivetrain to make the car fuel efficient?

Systems Realization Laboratory 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

Systems Realization Laboratory Questions?

Systems Realization Laboratory What is a Model?  Examples of Models…  What do these examples have in common?

Systems Realization Laboratory Examples of Models in Vehicle Design Computational Fluid Dynamics Noise, Vibration, and Harshness Crash TestingThermal Stress Analysis

Systems Realization Laboratory 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 All models are 'wrong'. Some are useful. Attributed to George Box Who has create a new model today?

Systems Realization Laboratory How Do We Create Models? 1.Gather data about real system 2.Postulate hypotheses about the relationships in the data 3.Formalize these hypotheses in models 4.Validate models by performing simulations 5.If necessary, modify the hypotheses and models until valid (Adapted from F. Cellier)

Systems Realization Laboratory A Quick Aside: When is a Model Valid? Is this model valid? f(x) x Models can never be proven correct – only falsified. (Adapted from Karl Popper)

Systems Realization Laboratory Unanticipated Phenomena May Invalidate Model Tacoma Narrows Bridge, Nov 7, 1940.

Systems Realization Laboratory Examples of Models in Vehicle Design Computational Fluid Dynamics Noise, Vibration, and Harshness Crash TestingThermal Stress Analysis

Systems Realization Laboratory Manufacturing Simulation  DFM – DFA – DFX  Take life cycle cost into account at the design stage

Systems Realization Laboratory Training Simulators  Use the previously developed simulation models for training  Train operators before prototypes are built  Test whether user interface is user-friendly

Systems Realization Laboratory Immersive Environments  Allow user to interact with models through 3-dimensional vision Touch (tactile interface)  Complete virtual prototype

Systems Realization Laboratory 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 Crash Testing