Feb 05, 2025  
2021-2022 Undergraduate Academic Catalog 
    
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2021-2022 Undergraduate Academic Catalog [ARCHIVED CATALOG]

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ME 4305 - Mechanical System Simulation

3 lecture hours 0 lab hours 3 credits
Course Description
This course examines the conversion of mathematical models of mechanical engineering phenomena and systems to block diagram form.  Emphasis is placed on creating a sampling of simulation models of basic components and then using those basic models to build more complex system models of interacting components.  Completed models are tested for validity and then used to observe dynamic response, steady-state performance, and other system outcomes.  Models will also be used to understand the influence of system parameters on the outcomes.  Specific areas that will be explored are mechanical system dynamics, fluid power motion, and vehicle drive train performance scenarios.  System model development, simulations and analyses will be accomplished using MATLAB and Simulink. (prereq: (ME 230  or EE 3050 )
Course Learning Outcomes
Upon successful completion of this course, the student will be able to:
  • Implement a variety of mathematical relationships into block diagram models
  • Create and validate simulation models of basic component behavior
  • Combine basic models into more complex system models
  • Conduct design analyses to understand the influence of specific parameters on system performance
  • Develop a better understanding of system behavior pertaining to fluid power, power trains, and mechanics
  • Learn to learn from system modeling activity
Prerequisites by Topic
  • Laplace transfer functions
  • Differential equations
  • Mechanical system modeling
  • Dynamic systems
Course Topics
  • Behavioral models of fluid power elements: pumps, motors, cylinders, volumes and valves
  • Behavioral models of power train elements: engines, clutches, torque converters, gear reductions
  • Behavioral models of spring-mass-damper systems: translational and rotational
  • Using Simulink to study sub-system interactions and system performance
  • Using MATLAB to automate design studies that implement the Simulink models
Coordinator
Dr. Daniel Williams


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