CHEM ENG 4050 - Advanced Chemical Engineering
North Terrace Campus - Semester 1 - 2023
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General Course Information
Course Details
Course Code CHEM ENG 4050 Course Advanced Chemical Engineering Coordinating Unit School of Chemical Eng and Advanced Materials(Ina) Term Semester 1 Level Undergraduate Location/s North Terrace Campus Units 3 Contact Up to 4 hours per week Available for Study Abroad and Exchange Y Prerequisites Level II Maths Incompatible CHEM ENG 4003 Assumed Knowledge CHEM ENG 3031, CHEM ENG 3035 Assessment Tutorials/assignments, 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 Complete plant tests to determine dynamic characteristics (e.g. in a first-order plus dead time model); 2 Tune various forms of controllers (P, PI, PID) using a number of techniques (e.g. open-loop step test, closed-loop step test); 3 Explain typical control structures for a variety of commonly encountered processes; 4 Specify advanced controllers (e.g. dead time compensation, feed-forward, IMC, model-based controllers); 5 Devise plant-wide control structures; 6 Use the z-transform in digital control; 7 Design controllers for discrete systems; 8 Characterise and describe particulate systems in terms of their basic physical properties; 9 Perform basic design calculations and analysis of typical particulate processes, such as mixing, size reduction and enlargement, storage and transport of powders; and 10 Work and communicate effectively as part of a small group.
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 1.5 2.1 2.3 3.1 3.3 3.6
University Graduate Attributes
This course will provide students with an opportunity to develop the Graduate Attribute(s) specified below:
University Graduate Attribute Course Learning Outcome(s) Attribute 1: Deep discipline knowledge and intellectual breadth
Graduates have comprehensive knowledge and understanding of their subject area, the ability to engage with different traditions of thought, and the ability to apply their knowledge in practice including in multi-disciplinary or multi-professional contexts.
1-9 Attribute 2: Creative and critical thinking, and problem solving
Graduates are effective problems-solvers, able to apply critical, creative and evidence-based thinking to conceive innovative responses to future challenges.
1-9 Attribute 3: Teamwork and communication skills
Graduates convey ideas and information effectively to a range of audiences for a variety of purposes and contribute in a positive and collaborative manner to achieving common goals.
1-10 Attribute 4: Professionalism and leadership readiness
Graduates engage in professional behaviour and have the potential to be entrepreneurial and take leadership roles in their chosen occupations or careers and communities.
10 Attribute 5: Intercultural and ethical competency
Graduates are responsible and effective global citizens whose personal values and practices are consistent with their roles as responsible members of society.
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Learning Resources
Recommended Resources
Reference Books
Stephanopoulos (2005) Chemical Process Control - An Introduction to Theory & Practice, Prentice-Hall, USA.
Seborg, Edgar, Mellichamp and Doyle (2017) Process Dynamics & Control, 4th Edition, John Wiley, USA.
Rhodes (2008) Introduction to Particle Technology, 2nd Edition, John Wiley, USA.
Edgar, Smith, Shinskey, Gassman, Waite, McAvoy & Seborg Process Control In: Perry & Green (2000) Perry's Chemical Engineers' Handbook, 8th Edition, McGraw-Hill, USA.
Online Learning
A range of online resources will be provided via MyUni. -
Learning & Teaching Activities
Learning & Teaching Modes
The activities for this course are structured by week and include the following activities:
Online Theory Lectures
To be viewed before earch weekly workshop session.
Practice Workshops
Guided problem solving in-class.
Tutorials
Solve problems individually and submit answers for assessment. Due a week after tutorial.Workload
The information below is provided as a guide to assist students in engaging appropriately with the course requirements.
Activity In-class Out-of-class Total expected workload Lectures 0 12 12 Workshop 24 12 36 Tutorials 24 24 48 Mid-Sem Test (x2) 4 20 24 Exam (x2) 4 20 24 TOTAL 56 88 144 Learning Activities Summary
Part A. Introduction to Particulate Processes.
Topic 1: Storage and flow of powders
Material characteristics; powder flow behaviour; storage hopper design; forces in bins; hopper discharge and flow.
Topic 2: Solids mixing and segregation
Particulate mixing; segregation of powder; powder mixing mechanisms; assessment of mixture quality; statistical analysis of mixing; solids mixing equipment.
Topic 3: Particle size reduction
Particle fracture mechanisms; energy requirement; prediction of product size distributions; comminution equipment.
Topic 4: Size enlargement
Methods of size enlargement; agglomeration processes; agglomerate bonding mechanisms; granulation rate processes; equipment for size enlargement.
Topic 5: Hazards of fine powders
Health effects; fire and explosion hazards.
Part B. Advanced Process Dynamics & Control.
Topic 1: Revision
Fundamentals - control objectives; feedback control; standard elements; dynamic analysis; Laplace transform solution; open-loop responses; stability; PID controllers; block-diagram algebra; closed-loop responses; valve characteristics, PID diagrams.
Topic 2: Analysis & design by frequency response techniques
General frequency response characteristics; Bode and Nyquist diagrams; Bode stability criterion; gain and phase margins; controller design - Zeigler Nichols; controller synthesis; modern tuning algorithms; process identification; transient response from closed-loop frequency response.
Topic 3: Analysis and design of complex control systems
Dead time and inverse responses, & appropriate compensator designs; IMC tuning and model-based control; multiple loops - cascade, selective control; ratio control; feed-forward control and controller design.
Topic 4: Digital control
Sampling: zero-order hold; z transforms; control algorithms; discrete transfer functions and digital filters; closed-loop transfer functions & responses; direct design of digital controller.
Topic 5: Multivariable Processes
Inventory control; control system synthesis;
loop interaction and decoupling; state-space formulation. -
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 Assignments 30 Group Formative 2,4,6,8,10,12 none 1-10 Mid Semester Tests (x2) 20 Individual Summative 6 & 12 none 1-10 Final Exam(s)
ie. one ea. for
Part A & Part B50 Individual Summative Exam Period none 1-10 Total 100
This assessment breakdown complies with the University's Assessment for Coursework Programs Policy.
Assessment Detail
In this course the following assessments will be completed:
Tutorials (individual) - problems submitted a week after the prior tutorial session.
Mid-Semester tests (individual) - two tests taken in class covering section A (Particulate Processes), and section B (Advanced Process Control Respectively). Tests to be completed in weeks 6 and 12 of the semester.
Final Exam (individual) - two exams (clos ed book), each covering a section of the course, taken during the examination period.Submission
All individually completed assignments will be submitted via MyUni. The tests will occur in class.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
The University places a high priority on approaches to learning and teaching that enhance the student experience. Feedback is sought from students in a variety of ways including on-going engagement with staff, the use of online discussion boards and the use of Student Experience of Learning and Teaching (SELT) surveys as well as GOS surveys and Program reviews.
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 Support
- Academic Integrity for Students
- Academic Support with Maths
- Academic Support with writing and study skills
- Careers Services
- Library Services for Students
- LinkedIn Learning
- Student Life Counselling Support - Personal counselling for issues affecting study
- Students with a Disability - Alternative academic arrangements
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Policies & Guidelines
This section contains links to relevant assessment-related policies and guidelines - all university policies.
- Academic Credit Arrangements Policy
- Academic Integrity Policy
- Academic Progress by Coursework Students Policy
- Assessment for Coursework Programs Policy
- Copyright Compliance Policy
- Coursework Academic Programs Policy
- Intellectual Property Policy
- IT Acceptable Use and Security Policy
- Modified Arrangements for Coursework Assessment Policy
- Reasonable Adjustments to Learning, Teaching & Assessment for Students with a Disability Policy
- Student Experience of Learning and Teaching Policy
- Student Grievance Resolution Process
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Fraud Awareness
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