Mar 13, 2025  
2023-2024 Undergraduate Academic Catalog-June Update 
    
2023-2024 Undergraduate Academic Catalog-June Update [ARCHIVED CATALOG]

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IND 3210 - Automation Technologies

3 lecture hours 2 lab hours 4 credits
Course Description
This course deals with automation technologies utilized in manufacturing, logistics, and service environments. It compares manual and automated systems for assembly arrangements, material handling, storage systems, inspection, and product identification. It includes hands-on lab instruction in robotic programming, as well as flexible manufacturing systems, and culminates with a project that uses microcontrollers, PLCs, and a collaborative robot (CoBot) to sort work product and simulate an assembly line. (prereq: PHY 1120 , IND 2010 , ELE 2001 ) (quarter system prereq: PH 2021, IE 1190, EE 201)
Course Learning Outcomes
Upon successful completion of this course, the student will be able to:
  • Perform basic calculations regarding analog-to-digital conversion and digital-to-analog conversion
  • Distinguish important capabilities and limitations related to automation technologies, particularly with respect to robotics, identification, inspection, material handling, and storage systems
  • Investigate and discuss the different debates and limitations with respect to ethics when implementing automation and robotics in organizations
  • Select and justify a material transport system and a storage system for a given scenario in a manufacturing or service industry
  • Explain the inverse and forward kinematics of robots and related coordinate systems
  • Explain and exemplify automated production systems
  • Explain and exemplify how image processing and visual systems are used in manufacturing processes
  • Perform calculations related to production rate, production capacity, and storage capacity
  • Distinguish important capabilities and limitations of robotic and automated processes
  • Explain the different components of an automated system and how these components interact
  • Explain the difference between sequence control vs a logic control task and identify cases where each task type is applied
  • Implement basic Boolean elements of logic control to represent the process in a production system
  • Use ladder logic to represent different task scenarios
  • Design and construct a fully automated production system (a factory mockup) using a CoBot, a PLC and other hardware components (e.g., valves, sensors, and motors)
  • Design and construct the electrical system to provide the energy to make the proposed automated production system (the factory mockup) work
  • Program the CoBot and the PLC in such a way that the proposed automated production system (factory mockup) performs the set of tasks initially proposed as part of the final project of the course

Prerequisites by Topic
  • Physics as it relates to electricity and magnetism (e.g., capacitance, electric circuits)
  • Logic and programming; logic control
  • Application of electric circuits including electrical quantities in a steady-state DC context, DC series and parallel circuit analysis, AC series analysis, signal types (i.e., analog versus digital)

Course Topics
  • Analog and digital introduction: ADC, DAC, microcontroller employment, basics of arrays, vectors, matrices, and systems of linear equations
  • Introduction to logic control and PLCs: Boolean algebra, logic gates, truth tables, ladder logic for use in automation
  • Introduction to robotics: applications, coordinate system frames, manipulator classification, forward and inverse kinematics
  • Robotics & industrial control systems, robot programming, safety
  • Product lifecycle management (PLM), digital manufacturing, flexible manufacturing systems, transfer lines
  • Flexible manufacturing systems and transfer lines case studies
  • Image processing and visual systems
  • Course project: employment of microcontrollers, PLC, and a CoBot to simulate a sequence of manufacturing operations (factory mockup)

Laboratory Topics
  • Analog/digital introduction via microcontrollers
  • Actuators and components of automated systems
  • PLCs (ladder logic) and layout of factory (Sim)
  • PLC programming (Direct Soft)
  • Forward/inverse kinematics (SolidWorks Robot Sim)
  • RobotStudio Sim of ABB robot
  • Online programming of ABB robot and UR3 CoBots
  • Visual systems investigation

Coordinator
Dr. Leah Newman



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