Apr 23, 2024  
2021-2022 Undergraduate Academic Catalog 
    
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2021-2022 Undergraduate Academic Catalog [ARCHIVED CATALOG]

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ME 5305 - Mechanical System Simulation

2 lecture hours 2 lab hours 3 credits
Course Description
This course examines the conversion of mathematical models of physical in mechanical systems to block diagram form suitable for simulation software.  Simulation models of a sampling of basic components are created and then used to build more complex dynamic system models of interacting components.  Completed models are tested for validity and used to observe dynamic response, steady-state performance, and other system outcomes.  Models are also used to understand the influence of system parameters on predicted performance.  Specific areas that will be explored are mechanical system dynamics, fluid power motion, and vehicle drive train performance scenarios.  Model development, simulations and analyses will be completed with MATLAB and Simulink. (prereq: graduate standing)
Course Learning Outcomes
Upon successful completion of this course, the student will be able to:
  • Implement a variety of mathematical relationships as block diagram models
  • Create and analytically validate simulation models of basic component behavior
  • Combine basic models into more complex system models
  • Conduct design analysis to understand the influence of specific parameters on system performance
  • Develop an understanding of system behavior pertaining to fluid power, power trains, and mechanics
  • Learn from system modeling activity
Prerequisites by Topic
  •   Laplace transforms and transfer functions
  •   Differential equations
  •   Mechanical system models
  •   Dynamic systems
  •   Basic MATLAB and Simulink familiarity or ability to learn it in the course
Course Topics
  • Modeling fluid power components: pumps, motors, cylinders, volumes and valves
  • Modeling power train elements: engines, torque converters, gear reductions
  • Modeling spring-mass-damper systems: translational and rotational
  • Modeling systems of components
Laboratory Topics
  • Creating Simulink models to study sub-system interactions and system performance
  • Using MATLAB to automate design studies that exercise the Simulink models and process simulation results
Coordinator
Dr. Daniel Williams


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