CHEM ENG 3031 - Process Control & Instrumentation
North Terrace Campus - Semester 2 - 2023
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General Course Information
Course Details
Course Code CHEM ENG 3031 Course Process Control & Instrumentation Coordinating Unit School of Chemical Eng and Advanced Materials(Ina) Term Semester 2 Level Undergraduate Location/s North Terrace Campus Units 3 Contact Up to 4 hours per week Available for Study Abroad and Exchange Y Incompatible CHEM ENG 3015 Assumed Knowledge MATHS 2102, CHEM ENG 2010 Assessment Assignments, practicals, final examination Course Staff
Course Coordinator: Steven Amos
Course Timetable
The full timetable of all activities for this course can be accessed from .
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Learning Outcomes
Course Learning Outcomes
On successful completion of this course students will be able to:
1 Explain the basic principles & importance of process control in industrial process plants; 2 Specify the required instrumentation and final elements to ensure that well-tuned control is achieved; 3 Define the use of block diagrams & the mathematical basis for the design of control systems; 4 Design and tune process (PID) controllers; 5 Use appropriate software tools (e.g. Matlab Control Toolbox & Simulink) for the modelling of plant dynamics and the design of well tuned control loops; 6 Explain the importance and application of good instrumentation for the efficient design of process control loops for process engineering plants; and 7 Draw a PID (Process & Instrumentation Diagram) & devise simple but effective plant wide control strategies using appropriate heuristics.
The above course learning outcomes are aligned with the Engineers Australia .
The course is designed to develop the following Elements of Competency: 1.1 1.2 1.3 2.1 2.2 3.1
University Graduate Attributes
No information currently available.
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Learning Resources
Recommended Resources
Textbook
Stephanopoulos, G 2005, Chemical Process Control; An Introduction to Theory & Practice, Prentice-Hall
Reference Book
Seborg, DE, Edgar TF & Mellichamp DA 2008, Process Dynamics & Control, 2nd Edition, John Wiley.
Online Learning
A range of online resources will be provided via MyUni. -
Learning & Teaching Activities
Learning & Teaching Modes
No information currently available.
Workload
The information below is provided as a guide to assist students in engaging appropriately with the course requirements.
Activity Contact Hours Workload Hours Lectures 23 46 Tutorials 20 40 Quizzes 2 4 TOTAL 45 90 Learning Activities Summary
Topic 1: Model Development & Differential Equations
Solution of differential equations; use of Laplace transforms; development of dynamic models; Taylor series linearization of non-linear differential equations, inverse Laplace transforms; partial fraction expansion.
Topic 2: Block Diagrams
Closed-loop systems; block-diagram algebra.
Topic 3: Step Responses & Controller Algorithms
Step response of first & second-order systems, PID control – simple elements proportional, integral
& derivative mode; ideal & real-world controllers.
Topic 4: More Complex Transfer Functions
Higher-order systems; inverse response; dead time.
Topic 5: Stability
Introduction; poles & zeros; Argand diagrams; Routh array, root locus plots; degrees of freedom.
Topic 6: Controller Tuning & Model Fitting
Model development using plant step test data; Cohen Coon & Zeigler Nichols tuning methods.
Topic 7: Process Instrumentation
Sensors & transducers; data transmission; accuracy & repeatability, final elements in control loop;
pressure, temperature, level & flow rate measurement.
Topic 8: Final elements
Motor speed control; control valves – installed & inherent characteristics; PID (Process control &
Instrumentation Diagrams).
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Assessment
The University's policy on Assessment for Coursework Programs is based on the following four principles:
- Assessment must encourage and reinforce learning.
- Assessment must enable robust and fair judgements about student performance.
- Assessment practices must be fair and equitable to students and give them the opportunity to demonstrate what they have learned.
- Assessment must maintain academic standards.
Assessment Summary
* The specific due date for each assessment task will be available on MyUni.Assessment Task Weighting (%) Individual/ Group Formative/ Summative Due (week)* Hurdle criteria Learning outcomes Tutorials 20 Group Formative 2-7, 8-12 none 1-4, 6-7 Mid-Sem Test 1 10 Individual Summative 5 none 1-4, 6-7 Mid-Sem Test 2 10 Individual Summative 9 none 1-4, 6-7 Comp Exercise 5 Individual Formative 6-8 none 2-5 Lab Practical 5 Group Formative 7-8, 10-11 none 3-4, 7 Final Exam 50 Individual Summative Exam period none 1-4, 6-7 Total 0
This assessment breakdown is in accordance with the University's .Assessment Detail
No information currently available.
Submission
No information currently available.
Course Grading
Grades for your performance in this course will be awarded in accordance with the following scheme:
M10 (Coursework Mark Scheme) Grade Mark Description FNS Fail No Submission F 1-49 Fail P 50-64 Pass C 65-74 Credit D 75-84 Distinction HD 85-100 High Distinction CN Continuing NFE No Formal Examination RP Result Pending Further details of the grades/results can be obtained from Examinations.
Grade Descriptors are available which provide a general guide to the standard of work that is expected at each grade level. More information at Assessment for Coursework Programs.
Final results for this course will be made available through .
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Student Feedback
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SELTs are an important source of information to inform individual teaching practice, decisions about teaching duties, and course and program curriculum design. They enable the University to assess how effectively its learning environments and teaching practices facilitate student engagement and learning outcomes. Under the current SELT Policy (http://www.adelaide.edu.au/policies/101/) course SELTs are mandated and must be conducted at the conclusion of each term/semester/trimester for every course offering. Feedback on issues raised through course SELT surveys is made available to enrolled students through various resources (e.g. MyUni). In addition aggregated course SELT data is available.
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- Student Grievance Resolution Process
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