Available in 2018

Course handbook

Description

This course provides a means for senior chemical engineering students to fully exploit their potential for understanding of simple model development, transfer functions, block diagrams and analysis and solution of process control problems. Students will gain an appreciation of how to create mathematical models for chemical/physical processes from first principles and learn how to analyse the behaviour of such processes under steady state and dynamic situations using chemical engineering process simulation packages.


Availability2018 Course Timetables

Callaghan

  • Semester 1 - 2018

Learning outcomes

On successful completion of the course students will be able to:

1. Show an understanding of the concept of models and develop an appreciation of their use in chemical engineering

2. Create mathematical models for processes governed by equilibrium, conservation (eg mass, momentum and energy), transport and kinetic

3. Develop models of representative chemical and/or physical processes from the first principle

4. Understand the difference between steady state and non-steady state behaviour

5. Demonstrate an appreciation of the importance of dynamics in process design and operation

6. Identify the causes of different dynamic characteristics

7. Analyse the behaviour of linear dynamic systems

8. Show how block diagrams may be used and manipulated to represent relatively complex systems

9. Use simulation software packages to solve practical problems


Content

Topics to be covered in this course include:

1. Introduction to Process Control and Instrumentation

  • What is “Process Control”?
  • Process Control Objectives
  • Terminology
  • Hardware Elements of Control Systems; Sensors; Controllers; Transmitters; Final Control Element; Other Elements
  • Control Systems Configuration; Feedback; Feed-forward; Open-loop; Cascade
  • Overview of Control System Design

2. Fundamentals

  • Steady-State versus Dynamic Models 
  • Time Domain Dynamics; Classifications and Definitions; Linearisation; Perturbation Variables; Response of Simple Linear Systems 
  • Laplace-Domain Dynamics; Laplace Transfer Fundamentals; Laplace Transfer of Some Important Functions; Inversion of Laplace Transfer; Transfer Functions 

3. Dynamic Process Simulation (time-domain dynamics and control)

  • Process Dynamics 
  • Controller Set-up 
  • Logical Operations; Digital Point; PID Controller; Selector Block; Set; Spreadsheet; Transfer Functions
  • Stability

Assumed knowledge

MATH2310, CHEE3735 and CHEE3745.


Assessment items

Written Assignment: Assignment #1

Written Assignment: Assignment #2

Written Assignment: Assignment #3

Report: Laboratory Report #1

Report: Laboratory Report #2

Formal Examination: Final Exam


Contact hours

Callaghan

Lecture

Face to Face On Campus 3 hour(s) per Week for Full Term

Tutorial

Face to Face On Campus 1 hour(s) per Week for Full Term