Course overview
This course aims to develop advanced understanding and application of particulate processes and process dynamics and control. Students characterise particulate systems; analyse and design particulate operations, including filtration; identify powder hazards; and analyse and design advanced, plant-wide and digital control systems. The course also provides an overview of statistical process control and the industrial use of Artificial Intelligence and Machine Learning.
- Particulate Processes
- Advanced Process Control
Course learning outcomes
- Characterise and describe particulate systems in terms of their relevant physical properties.
- Perform design calculations and analyse typical particulate processes, including mixing, size reduction and enlargement, storage and transport of powders, and filtration.
- Describe the hazards associated with fine powders and recommend preventative measures by which these hazards can be reduced.
- Determine process dynamic characteristics and specify advanced controllers, including dead-time compensation, cascade, feedforward, internal-model and model-based controllers.
- Devise and justify plant-wide and multivariable control structures.
- Use the z-transform to analyse discrete-time systems and design digital controllers.
- Describe and evaluate how statistical process control, Artificial Intelligence and Machine Learning are used in industrial processes.