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Training - Courses

SLPM-M: Physical Modeling of Mechanical Systems with SimMechanics

Note: A 1 hour test session will be scheduled one day prior to the first day of class. This session is to verify that the visual and audio connection is working properly on your computer. The required product software should be installed for the test session. It is highly recommended that you attend this session to ensure a successful and timely class start.

This one-day course discusses how to model rigid-body mechanical systems in the Simulink® environment using SimMechanics. Topics include:

  • Modeling simple multibody systems
  • Combining Simulink blocks and SimMechanics blocks
  • Creating reusable models of mechanical systems
  • Modeling constraints (gears, wheels, etc.)
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 Detailed course outline
Day 1 of 1
Introduction to SimMechanics Software

Objective: Become familiar with the SimMechanics environment by modeling a simple rigid body system.

  • Understanding physical modeling with SimMechanics
  • Building a SimMechanics model
  • Viewing SimMechanics simulations
  • Analyzing the four-cylinder engine model
Introduction to Multibody Simulation

Objective: Discuss the components that make up a mechanical model and how to define them in the SimMechanics environment.

  • Terminology
  • Bodies
  • Coordinate systems
  • Orientation
  • Joints
  • Visualization
Connecting to the Simulink Environment

Objective: Illustrate the ways that SimMechanics blocks can interact with Simulink blocks.

  • Four-stroke cycle engine model
  • Measuring angular orientation of crankshaft
  • Calculating piston force in Simulink
  • Applying piston force using actuation
  • Measuring reaction forces
Readability and Reusability

Objective: Create reusable, more robust, and more easily maintained SimMechanics models.

  • Parameterizing with MATLAB variables
  • Defining position relative to another body
  • Creating modular components
Modeling Constraints

Objective: Model complex rigid body connections using SimMechanics constraints.

  • Creating closed loop systems
  • Counting degrees of freedom
  • Modeling velocity constraints
  • Modeling gear constraints
  • Modeling point-curve constraints

Prerequisites

MATLAB Fundamentals and Simulink for System and Algorithm Modeling

Course Length - 1 day

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