Nov 23, 2024  
2022-2023 Catalog 
    
2022-2023 Catalog [ARCHIVED CATALOG]

ADMF 205 - Sensors in Manufacturing


PREREQUISITES: INDT 113 - Industrial Electrical I .
PROGRAM: Advanced Automation and Robotics Technology
CREDIT HOURS MIN: 3
LECTURE HOURS MIN: 2
LAB HOURS MIN: 2
DATE OF LAST REVISION: Fall, 2020

Introduces the basic principles and practices of sensor technology used in advanced manufacturing. This course will prepare students to utilize commonly used sensor technology from simple switches to complex modern sensors. Students will be required to match appropriate sensor technology with specific manufacturing processes. This course will use lecture, lab, online simulation and programming to prepare students for C-205 Sensor Logic Systems 1, C-213 Smart Sensor and Identification Sys. 1 and C-214 Smart Factory Systems 1 Certification through Smart Automation Certification Alliance (SACA).

MAJOR COURSE LEARNING OBJECTIVES: Upon successful completion of this course the student will be expected to:

  1. Describe the hazards associated with automated machines and determine appropriate safety methods for working around computer controlled machinery. [c]
  2. Define and discuss open loop and closed loop systems. [f]
  3. Discuss the types of switches used in manufacturing automation. [b, e, f]
  4. Discuss the types of photoelectric sensors used in manufacturing automation. [b, e, f]
  5. Discuss the types of transducers used in manufacturing automation. [b, e, f]
  6. Describe and classify sensor systems as discrete, analog, and data types. [b, e, f]
  7. Develop an understanding of process variables and the appropriate sensor technology used to measure that variable. [b, e, f]
  8. Analyze and select appropriate sensing control and safety requirements for automated machinery. [b, c, e, f]
  9. Define and discuss the terms sink and source with respect to sensor technology. [b, c, e, f]
  10. Analyze and interpret sensor specifications and documentation. [b, e, f]
  11. Install, program, and troubleshoot sensor systems. [a, b, e, f]
  12. Adjust machines for accuracy and repeatability of sensor operations. [b, e, f]
  13. Solve mathematical problems related to sensor operations. [b, e, f]
  14. Verbally describe and interpret data obtained from sensor readings. [b, e, f]
  15. Assess readiness to take the SACA C-205 Sensor Logic Systems 1, C-213 Smart Sensor and Identification Sys. 1 and C-214 Smart Factory Systems 1 Certification exam. [h]


COURSE CONTENT: Topical areas of study include -  

  • Switch Technology
  • Discrete Data
  • Transducer technology
  • Analog data
  • Sensor technology
  • Product identification
  • Automated product and process data measurement and analysis
  • DC Sink and Source
  • Open loop systems and controls
  • Sensor programming
  • Closed loop systems and controls
  • Sensor troubleshooting
  • Smart sensor technology

 
GRADING POLICY

A 90-100
B 80-89
C 70-79
D 60-69
F 0-59

 
Course Addendum - Syllabus (Click to expand)