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Apr 04, 2025
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ADMF 205 - Sensors in Manufacturing
PREREQUISITES: INDT 113 - Industrial Electrical I or SMDI 130 - Electrical Systems for Smart Manufacturing
PROGRAM: Industrial Technology
CREDIT HOURS MIN: 3
LECTURE HOURS MIN: 2
LAB HOURS MIN: 2
DATE OF LAST REVISION: Fall 2023
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. Sensors in Manufacturing. In addition, students will attempt certification assessment through SACA, Smart Automation Certification Alliance. This course will use lecture, lab, online simulation and programming to prepare students for C-205 Sensor Logic Systems 1, and C-213 Smart Sensor and Identification Sys. 1.
MAJOR COURSE LEARNING OBJECTIVES: Upon successful completion of this course the student will be expected to:
- Describe the hazards associated with automated machines and determine appropriate safety methods for working around computer controlled machinery. [c]
- Define and discuss open loop and closed loop systems. [f]
- Discuss the types of switches used in manufacturing automation. [b, e, f]
- Discuss the types of photoelectric sensors used in manufacturing automation. [b, e, f]
- Discuss the types of transducers used in manufacturing automation. [b, e, f]
- Describe and classify sensor systems as discrete, analog, and data types. [b, e, f]
- Develop an understanding of process variables and the appropriate sensor technology used to measure that variable. [b, e, f]
- Analyze and select appropriate sensing control and safety requirements for automated machinery. [b, c, e, f]
- Define and discuss the terms sink and source with respect to sensor technology. [b, c, e, f]
- Analyze and interpret sensor specifications and documentation. [b, e, f]
- Install, program, and troubleshoot sensor systems. [a, b, e, f]
- Adjust machines for accuracy and repeatability of sensor operations. [b, e, f]
- Solve mathematical problems related to sensor operations. [b, e, f]
- Verbally describe and interpret data obtained from sensor readings. [b, e, f]
- Recall fundamental content to meet/exceed the cut-score for the SACA (Smart Automation Certification Alliance) C-205 Sensor Logic Systems 1 - Silver Certification. [h]
- Demonstrate skills to obtain the SACA C-205 Sensor Logic Systems 1 - Gold Certification at a 100% skill standand. [a,i]
- Recall fundamental content to meet/exceed the cut-score for the SACA (Smart Automation Certification Alliance) C-213 Smart Sensor and Identification Sys. 1 - Silver Certification. [h]
- Demonstrate skills to obtain the SACA C-213 Smart Sensor and Identification Sys. 1 - Gold Certification at a 100% skill standand. [a,i]
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 |
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