The Nano Liquid Flow Process Control Trainer simulates industrial plant systems found in oil & gas, chemical and food production plants around the world. This standalone, desktop training system makes an excellent platform for training in all aspects of liquid flow instrumentation and engineering.
    Trainees learn the theory and application, gaining skills in calibration, tuning, optimization, maintenance and control using a safe medium: water. The self-assembled trainer provides the flexibility to simulate a real world industrial plant environment for a wide range of educational experiences in flow control studies. The process control training software and can be integrated with multiple industrial-standard buses including the latest technologies from HART, Foundation Fieldbus, and Profibus.

    Description

    Liquid Flow control serves to demonstrate and teach the measurements and control of liquid flow processes. The Liquid Flow Process Control course provides students hands-on experience raising and lowering water flow rates to preset levels using manual control and auto-tuning methods. Students create variable demand and supply disturbances by opening an outlet valve along the supply pipe.

    Course Outline

      • Introduction to Process Control
        • Basics of Control Theory
        • Process Control Terminology
        • Controller and Tuning
        • Process Control Loop
        • Introduction to Process Measurement
      • Instrumentation and Control System
        • Process Flow Diagram
        • Piping and Instrumentation Diagram
      • Technical Documentation
        • Process Plant Drawings
          • General Arrangement Drawing
          • Full Assembly Drawing
          • 3D View Drawing
        • Instrument Details
          • Instrument Datasheet
      • Plant Operation and Process Tuning
        • Plant Optimization
          • Process Control Loop
          • Process Behavior
          • Effect of Disturbance in Process
        • Characteristic of Proportional (P), Integral (I), and Derivative (D)
        • PID Tuning using Different Methods
          • Ziegler Nichols
          • Cohen Coon
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