Mar 19, 2026  
2023-2024 Undergraduate Academic Catalog-June Update 
    
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2023-2024 Undergraduate Academic Catalog-June Update [ARCHIVED CATALOG]

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MEC 4350 - Mechanical System Simulation

3 lecture hours 0 lab hours 3 credits
Course Description
This course examines the conversion of mathematical models of mechanical and electromechanical systems to block diagram form suitable for simulation software. Simulation models 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 analytical scenarios.  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 driven systems, and vehicle drive train performance scenarios. Model development, simulations, and analyses will be completed with MATLAB and Simulink. (prereq: MEC 3320 ) (quarter system prereq: ME 230)
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
Prerequisites by Topic
  • Dynamic systems
  • Mechanical system modeling (lumped springs, masses, dampers, etc)
  • Differential equations
  • Laplace transforms and transfer functions
  • Working knowledge of MATLAB programming
  • Simulink experience is recommended, but can be attained with course prework
Course Topics
  • Modeling fluid power components: pumps, motors, cylinders, volumes and valves
  • Modeling power train elements: engines, DC motors, torque converters, gear reductions
  • Modeling spring-mass-damper systems: translational and rotational
  • Modeling systems of components
  • Creating Simulink models to study sub-system interactions and system performance
  • Conducting manual computations to verify the accuracy of created simulation models
  • Using MATLAB to automate design studies that exercise the Simulink models and process simulation results
Coordinator
Dr. Daniel Williams


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