CHEM ENG 4050 - Advanced Chemical Engineering

North Terrace Campus - Semester 1 - 2018

This course is composed of two equal parts. Part A is concerned with advanced process dynamics & control. Part B is focussed on particulate properties & design. The course aims to introduce you to advanced process control design tools (Part A). In this section, considerable use will be made of the Matlab & Simulink software packages to specify and design conventional and advanced controllers. As well, design heuristics will be introduced to provide you with the skills to synthesize plant-wide control systems. Part B will focus on particulate technology and its challenges when applied to chemical processing. Key topics to be covered in Part A include: Revision of level III work; analysis & design of controllers by frequency response techniques; analysis & design of complex control systems; practical examples of difficult to control systems; discrete control issues; and, finally, multivariable (MIMO) modelling and control design. Key topics to be covered in Part B include: Storage and flow of powders; solids mixing and segregation; particle size reduction; size enlargement; hazards of fine powders. By the end of this course you should be able to model non-linear dynamic processes, design appropriate analog or digital controllers, deal with interaction in MIMO (multiple input, multiple output) systems, and finally perform basic design calculations and analysis of typical industrial processes involving particulate matters.

  • 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 3030, CHEM ENG 3034
    Assessment Tutorials/assignments, final examination
    Course Staff

    Course Coordinator: Dr Dzuy Nguyen

    Course Timetable

    The full timetable of all activities for this course can be accessed from Course Planner.

  • 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 Specify & model multi-variable control structures & de-couplers;
    6 Devise plant-wide control structures;
    7 Use the z-transform in digital control;
    8 Design controllers for discrete systems;
    9 Characterise and describe particulate systems in terms of their basic physical properties; and
    10 Perform basic design calculations and analysis of typical particulate processes, such as mixing, size reduction and enlargement, storage and transport of powders.

    The above course learning outcomes are aligned with the Engineers Australia Stage 1 Competency Standard for the Professional Engineer.
    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)
    Deep discipline knowledge
    • informed and infused by cutting edge research, scaffolded throughout their program of studies
    • acquired from personal interaction with research active educators, from year 1
    • accredited or validated against national or international standards (for relevant programs)
    Critical thinking and problem solving
    • steeped in research methods and rigor
    • based on empirical evidence and the scientific approach to knowledge development
    • demonstrated through appropriate and relevant assessment
    Teamwork and communication skills
    • developed from, with, and via the SGDE
    • honed through assessment and practice throughout the program of studies
    • encouraged and valued in all aspects of learning
  • Learning Resources
    Recommended Resources

    Stephanopoulos, G 2005, Chemical Process Control; An Introduction to Theory & Practice, Prentice-Hall

    Reference Books

    Seborg, DE, Edgar TF & Mellichamp DA 2008, Process Dynamics & Control, 2nd Edition, John Wiley.

    Rhodes, M 2008, Introduction to Particle Technology, 2nd Edition, John Wiley.

    Perry, RH & Green, DW, Perry's Chemical Engineers' Handbook, McGraw-Hill.

  • Learning & Teaching Activities
    Learning & Teaching Modes

    No information currently available.


    No information currently available.

    Learning Activities Summary
    Part A. 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: Examples

    pH control & chemical reactor control; fuzzy control.

    Topic 5: Discrete 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 6: Multivariable Processes

    Inventory control; control system synthesis;
    loop interaction and decoupling; state-space formulation.

    Part B. 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.

  • Assessment

    The University's policy on Assessment for Coursework Programs is based on the following four principles:

    1. Assessment must encourage and reinforce learning.
    2. Assessment must enable robust and fair judgements about student performance.
    3. Assessment practices must be fair and equitable to students and give them the opportunity to demonstrate what they have learned.
    4. Assessment must maintain academic standards.

    Assessment Summary
    Assessment Task Weighting (%) Individual/ Group Formative/ Summative
    Due (week)*
    Hurdle criteria Learning outcomes
    Assignments 30 Group Formative 2,4,6,8,10,12 1. 2. 3. 4. 5. 6. 7. 8. 9. 10.
    Final Examination 70 Individual Summative 15 1. 2. 3. 4. 5. 6. 7. 8. 9. 10.
    Total 100
    * The specific due date for each assessment task will be available on MyUni.
    This assessment breakdown complies with the University's Assessment for Coursework Programs Policy.
    Assessment Detail

    No information currently available.


    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 Access Adelaide.

  • 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 ( 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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