Note: This unit is an archived version! See Overview tab for delivered versions.
CHNG5805: Foundations of Product Formulation and Design (2014 - Semester 2)
Unit: | CHNG5805: Foundations of Product Formulation and Design (6 CP) |
Mode: | Normal-Day |
On Offer: | Yes |
Level: | Postgraduate |
Faculty/School: | School of Chemical and Biomolecular Engineering |
Unit Coordinator/s: |
A/Prof Minett , Andrew
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Session options: | Semester 2 |
Versions for this Unit: |
Campus: | Camperdown/Darlington |
Pre-Requisites: | CHNG5701 AND CHNG5702 AND CHNG5704 AND CHNG5705. |
Prohibitions: | CHNG3805. |
Brief Handbook Description: | Many products emerge from their processing not as a continuous stream, but as discrete entities. There are many examples of discrete systems in chemical engineering, such as particulate systems (eg powders, solid particles in fluids), as well as polymeric and biological systems (eg emulsions and cells, respectively). Indeed, on a larger scale, a batch processing system itself can be thought of as a series of discrete but connected entities. This course is an introduction to the basic concepts in discrete systems necessary for a chemical engineer to be able to formulate and design discrete products which have desired properties. In essence it is a course on product formulation and design. This module will provide students with a working knowledge of the types of discrete systems available, the ways in which particulate systems can be characterized and their applications in industry. These aspects will form the foundation for an introduction of the modelling techniques used for discrete systems, such as population balances and batch scheduling. In addition to the above fundamentals, there will be considerable time spent during the semester on advanced topics related to the formulation and design of a variety of products, as well as the associated recent technological developments. |
Assumed Knowledge: | Ability to conduct mass and energy balances, and the integration of these concepts to solve real chemical engineering problems Ability to understand basic principles of physical chemistry, physics and mechanics Ability to use mathematics of calculus (including vector calculus) and linear algebra, and carry out computations with MATLAB and MS EXCEL. Ability to read widely outside of the technical literature, and to synthesise arguments based on such literature Ability to write coherent reports and essays based on qualitative information. |
Timetable: | CHNG5805 Timetable | ||||||||||||||||||||
Time Commitment: |
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T&L Activities: | Tutorial: Tutorials will allow students to practise themselves key calculations and conceptual questions, with a view to enhancing their understanding of the topic. Lecturer and tutor will be available to assist during the session. Independent Study: Students are expected to spend about 4 hours of self learning outside the specified contact period. |
Attributes listed here represent the key course goals (see Course Map tab) designated for this unit. The list below describes how these attributes are developed through practice in the unit. See Learning Outcomes and Assessment tabs for details of how these attributes are assessed.
Attribute Development Method | Attribute Developed |
Practice in development and analysis of design specifications for chemical products (Tutorials, group presentation). | Design (Level 3) |
Investigating and discussing issues in the design of chemical engineering products (Lectures, tutorials, assignments, group presentations). | Engineering/IT Specialisation (Level 3) |
Introduction to basic concepts and techniques for discrete systems modelling (Lectures, tutorials, quiz, exam). | Maths/Science Methods and Tools (Level 2) |
Practice researching advanced topics related product design (Group presentation). | Information Seeking (Level 2) |
Preparing and conducting group presentation. | Communication (Level 3) |
Team activity (Group presentation). | Project and Team Skills (Level 2) |
For explanation of attributes and levels see Engineering & IT Graduate Outcomes Table.
Learning outcomes are the key abilities and knowledge that will be assessed in this unit. They are listed according to the course goal supported by each. See Assessment Tab for details how each outcome is assessed.
Maths/Science Methods and Tools (Level 2)Assessment Methods: |
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Assessment Description: |
Presentation: Group assignment (Week 3) Presentation/Seminar: Interview (for selected students) Assignment 1: Group assignment - A peer review mark will be included in the assessment of this assignment. Assignment 2: Individual assignment Quiz: Mid semester quiz (2 hours) Final Exam: Final examination |
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Grading: |
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Policies & Procedures: | See the policies page of the faculty website at http://sydney.edu.au/engineering/student-policies/ for information regarding university policies and local provisions and procedures within the Faculty of Engineering and Information Technologies. |
Prescribed Text/s: |
Note: Students are expected to have a personal copy of all books listed.
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Recommended Reference/s: |
Note: References are provided for guidance purposes only. Students are advised to consult these books in the university library. Purchase is not required.
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Note that the "Weeks" referred to in this Schedule are those of the official university semester calendar https://web.timetable.usyd.edu.au/calendar.jsp
Week | Description |
Week 1 | Introduction : |
Diversity of discrete systems : solid particulates, biological, polymeric and batch processing systems | |
Week 2 | Introduction : |
Diversity of discrete systems : solid particulates, biological, polymeric and batch processing systems | |
Week 3 | Particulate characterisation methods: single particles, particle ensembles, particle-particle interactions, relation to bulk solid properties |
Assessment Due: Presentation/Seminar | |
Week 4 | Particulate characterisation methods: single particles, particle ensembles, particle-particle interactions, relation to bulk solid properties |
Assessment Due: Assignment 1 | |
Week 5 | Particulate characterisation methods: single particles, particle ensembles, particle-particle interactions, relation to bulk solid properties |
Week 6 | Particulate characterisation methods: single particles, particle ensembles, particle-particle interactions, relation to bulk solid properties |
Week 7 | Particulate characterisation methods: single particles, particle ensembles, particle-particle interactions, relation to bulk solid properties |
Week 8 | Advanced topics related to product formulation and design, and associated recent technological developments. |
Particle-fluid systems : characterisation of particle-fluid systems, storage/transport/mixing of slurries, fluidised bed reactors, separation systems (filtration, settling/classification, centrifugation) | |
Assessment Due: Assignment 2 | |
Assessment Due: Quiz | |
Week 9 | Particle-fluid systems : characterisation of particle-fluid systems, storage/transport/mixing of slurries, fluidised bed reactors, separation systems (filtration, settling/classification, centrifugation) |
Advanced topics related to product formulation and design, and associated recent technological developments. | |
Week 10 | Advanced topics related to product formulation and design, and associated recent technological developments. |
Particle-fluid systems : characterisation of particle-fluid systems, storage/transport/mixing of slurries, fluidised bed reactors, separation systems (filtration, settling/classification, centrifugation) | |
Week 11 | Particle-fluid systems : characterisation of particle-fluid systems, storage/transport/mixing of slurries, fluidised bed reactors, separation systems (filtration, settling/classification, centrifugation) |
Advanced topics related to product formulation and design, and associated recent technological developments. | |
Product formulation applications : population balance concepts, batch scheduling, industrial examples (polymers, crystallisation) | |
Week 12 | Advanced topics related to product formulation and design, and associated recent technological developments. |
Product formulation applications : population balance concepts, batch scheduling, industrial examples (polymers, crystallisation) | |
Week 13 | Diversity of discrete systems : solid particulates, biological, polymeric and batch processing systems |
Advanced topics related to product formulation and design, and associated recent technological developments. | |
Product formulation applications : population balance concepts, batch scheduling, industrial examples (polymers, crystallisation) | |
Particle-fluid systems : characterisation of particle-fluid systems, storage/transport/mixing of slurries, fluidised bed reactors, separation systems (filtration, settling/classification, centrifugation) | |
Particulate characterisation methods: single particles, particle ensembles, particle-particle interactions, relation to bulk solid properties | |
Review of all key concepts : | |
Exam Period | Assessment Due: Final Exam |
Course Relations
The following is a list of courses which have added this Unit to their structure.
Course | Year(s) Offered |
Master of Professional Engineering (Chemical & Biomolecular) | 2010, 2011, 2012, 2013, 2014 |
Course Goals
This unit contributes to the achievement of the following course goals:
Attribute | Practiced | Assessed |
Maths/Science Methods and Tools (Level 2) | Yes | 72.18% |
Engineering/IT Specialisation (Level 3) | Yes | 27.84% |
Design (Level 3) | Yes | 0% |
Information Seeking (Level 2) | Yes | 0% |
Communication (Level 3) | Yes | 0% |
Professional Conduct (Level 2) | No | 0% |
Project and Team Skills (Level 2) | Yes | 0% |
These goals are selected from Engineering & IT Graduate Outcomes Table which defines overall goals for courses where this unit is primarily offered. See Engineering & IT Graduate Outcomes Table for details of the attributes and levels to be developed in the course as a whole. Percentage figures alongside each course goal provide a rough indication of their relative weighting in assessment for this unit. Note that not all goals are necessarily part of assessment. Some may be more about practice activity. See Learning outcomes for details of what is assessed in relation to each goal and Assessment for details of how the outcome is assessed. See Attributes for details of practice provided for each goal.