Unit 3308: Industrial Automation and Robotics

1. Introduction to Industrial Automation

• Definition and scope of industrial automation
• Historical development and milestones
• Benefits of automation: efficiency, quality, safety, and cost reduction
• Applications across various industries (manufacturing, pharmaceuticals, food & beverage, automotive)

2. Types of Industrial Automation Systems

2.1 Programmable Logic Controllers (PLC)

• Overview and architecture
• Functions and typical applications

2.2 Supervisory Control and Data Acquisition (SCADA)

• System components and operation
• Monitoring and control capabilities

2.3 Distributed Control Systems (DCS)

• Characteristics and system design
• Comparison with PLC and SCADA

2.4 Robotics in Industrial Automation

• Types of industrial robots
• Roles in automation

3. Robot Programming

3.1 Teach Pendant Programming

• Definition and usage
• Programming workflow

3.2 Offline Programming

• Software tools and simulation
• Advantages over teach pendant

3.3 Programming Languages for Robots

• Common languages (e.g., RAPID, KRL, VAL)
• Basic programming constructs

4. Case Study 1: Automotive Manufacturing

• Overview of automotive production automation
• Role of robotics in assembly lines
• Impact on efficiency, quality, and safety

5. Industrial Sensors and Actuators

• Types of sensors (proximity, temperature, pressure, vision)
• Types of actuators (pneumatic, hydraulic, electric)
• Integration in automation systems
• Role in feedback and control loops

6. Case Study 2: Pharmaceutical Industry

• Automation in packaging and sorting
• Use of robotics in quality control
• Regulatory and safety considerations

7. Human-Robot Collaboration

• Concepts and benefits of collaboration
• Safety standards and risk assessment
• Collaborative robot (cobot) programming techniques
• Examples of successful collaborations

8. Industrial Automation Networking

• Overview of industrial communication needs
• Ethernet-based protocols
• Fieldbus protocols (e.g., PROFIBUS, Modbus)
• Wireless communication technologies

9. Case Study 3: Food and Beverage Industry

• Automation challenges in food processing
• Robotics for packaging and handling
• Enhancing productivity and maintaining hygiene standards

10. Industry 4.0 and Smart Manufacturing

• Definition and key components
• Integration of automation with IoT, AI, and data analytics
• Benefits and challenges
• Future trends in industrial automation