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List of Chapters

Chapter 1: Introduction to Fluid Power Systems and AI

  • Overview of fluid power systems: HVAC, compressed air, hydraulics, etc.
  • Basics of fluids (water, oil, air) and system components
  • Introduction to AI, controls, and data collection in modern systems
  • AI & Tech Focus: How AI uses historical data to predict issues and optimize labor
  • Lab: Explore a fluid power system and a demo AI dashboard (e.g., system monitoring app)

Chapter 2: System Components and Smart Controls

  • Pumps, fans, compressors, valves, and filters: function and maintenance
  • Introduction to smart controls (e.g., PLCs, IoT sensors)
  • AI & Tech Focus: Using sensors to collect real-time data on component health
  • Lab: Disassemble a pump, connect a sensor, and view data on a tablet/app

Chapter 3: HVAC Systems with AI Optimization

  • Basics of HVAC: airflow, cooling, and heating
  • Maintaining filters, coils, and ducts
  • AI & Tech Focus: AI-driven HVAC control for energy efficiency; software for load balancing
  • Sustainability: Reducing energy use with smart thermostats
  • Lab: Service an HVAC unit and use an AI tool to adjust settings

Chapter 4: Vacuum Systems and Data-Driven Maintenance

  • Vacuum pumps and their industrial uses
  • Checking seals and fixing leaks
  • AI & Tech Focus: AI analyzing vacuum pressure data to schedule maintenance
  • Sustainability: Minimizing power use in vacuum systems
  • Lab: Test a vacuum system and interpret AI-generated maintenance alerts

Chapter 5: Compressed Air Systems and Efficiency

  • Compressor setup, air line maintenance, and leak detection
  • Using controls to regulate air pressure
  • AI & Tech Focus: AI detecting leaks via sensor data; software for labor-efficient repairs
  • Sustainability: Reducing compressed air waste
  • Lab: Troubleshoot an air system with an AI diagnostic tool

Chapter 6: Cooling Water Systems and Smart Monitoring

  • Cooling towers and pumps: inspection and cleaning
  • Preventing corrosion and scaling
  • AI & Tech Focus: IoT sensors tracking water quality; AI predicting pump failures
  • Sustainability: Water recycling and energy-efficient cooling
  • Lab: Inspect a cooling system and use software to analyze water data

Chapter 7: Dust Collection Systems and Automation

  • Dust collectors: fans, filters, and airflow maintenance
  • Safety for combustible dust
  • AI & Tech Focus: Automated filter cleaning via AI; data collection for airflow optimization
  • Sustainability: Lowering fan energy use with AI controls
  • Lab: Service a dust collector and adjust settings via a control panel

Chapter 8: Hydraulic Systems and Predictive Maintenance

  • Hydraulic fluid checks, pump maintenance, and leak repairs
  • Introduction to hydraulic control systems
  • AI & Tech Focus: AI predicting seal wear using historical data; software for maintenance scheduling
  • Sustainability: Using eco-friendly hydraulic fluids
  • Lab: Service a hydraulic cylinder and review AI maintenance logs

Chapter 9: Pumping Systems and Real-Time Controls

  • Water pump installation and troubleshooting
  • Handling cavitation and performance issues
  • AI & Tech Focus: Real-time pump monitoring with IoT; AI optimizing pump speed
  • Sustainability: Energy-efficient pump operation
  • Lab: Install a pump and use a control app to adjust flow

Chapter 10: Fan Systems and Smart Integration

  • Fan maintenance: belts, blades, and vibration control
  • Noise reduction techniques
  • AI & Tech Focus: AI analyzing vibration data; automated fan balancing via controls
  • Sustainability: Reducing fan power consumption
  • Lab: Balance a fan and use software to monitor performance

Chapter 11: System Optimization and Software Deployment

  • Practical optimization: fixing leaks, adjusting controls
  • Deploying software for system monitoring (e.g., SCADA, CMMS)
  • AI & Tech Focus: AI combining historical and live data to minimize labor and energy use
  • Sustainability: Lifecycle analysis for eco-friendly upgrades
  • Lab: Optimize a mixed system (e.g., HVAC + fan) using AI software and controls

Chapter 12: Safety, Standards, Sustainability, and Final Project

  • Safety: handling high-pressure systems, noise, and chemicals
  • Industry standards (e.g., OSHA, ASHRAE) and green certifications
  • AI & Tech Focus: AI ensuring compliance and tracking sustainability metrics
  • Final Project: Design and optimize a fluid power system using AI tools, controls, and data collection; present labor and sustainability benefits
  • Course wrap-up: Career paths in smart systems