CHNG2803: Semester 1, 2020

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Units CHNG2803 Semester 1 2020 [Normal day]

Unit outline_

CHNG2803: Heat and Mass Transfer

Semester 1, 2020 [Normal day] - Camperdown/Darlington, Sydney

Overview

This unit of study teaches principles of heat and mass transfer required for chemical and biomolecular engineering. It covers steady and transient conduction and diffusion, convective transport of heat and mass, and radiative heat transfer. It runs concurrently with CHNG2801 (Fluid Mechanics) to provide students with the tools and know-how to tackle engineering problems related to transport phenomena. This unit of study also includes project-based study components including a research project on heat transfer phenomena in biological systems and a lab session on mass transfer. Students will develop a physical understanding of the underlying phenomena and gain the ability to solve real heat and mass transfer problems of engineering significance.

Unit details and rules

Academic unit	Chemical and Biomolecular Engineering
Credit points	6
Prerequisites ?	(MATH1001 OR MATH1021 OR MATH1901 OR MATH1921) AND (MATH1002 OR MATH1902) AND (MATH1003 OR MATH1023 OR MATH1903 OR MATH1923) AND (MATH1005 OR MATH1905 OR BUSS1020) AND ENGG1801 AND CHNG1103
Corequisites ?	None
Prohibitions ?	None
Assumed knowledge ?	It is assumed that students will be concurrently enrolled in or have already completed: CHNG2801 or equivalent, and (CHNG2802 or MATH2XXX)
Available to study abroad and exchange students	Yes

Teaching staff

Coordinator	Yuan Chen, yuan.chen@sydney.edu.au

Type	Description	Weight	Due	Length
Assignment	Homework	15%	-	n/a
Outcomes assessed:
Final exam	Final exam	60%	Formal exam period	2.5 hours
Outcomes assessed:
Assignment	Lab sessions on heat transfer equipment	6%	Multiple weeks	n/a
Outcomes assessed:
Small continuous assessment	In-class exercises	15%	Multiple weeks	n/a
Outcomes assessed:
Assignment	Bio-heat/mass transfer essay	4%	Week 09	n/a
Outcomes assessed:
= group assignment ?

Assessment summary

Detailed information for each assessment can be found on Canvas.

Assessment criteria

The University awards common result grades, set out in the Coursework Policy 2014 (Schedule 1).

As a general guide, a high distinction indicates work of an exceptional standard, a distinction a very high standard, a credit a good standard, and a pass an acceptable standard.

Result name	Mark range	Description
High distinction	85 - 100
Distinction	75 - 84
Credit	65 - 74
Pass	50 - 64
Fail	0 - 49	When you don’t meet the learning outcomes of the unit to a satisfactory standard.

For more information see guide to grades.

Late submission

In accordance with University policy, these penalties apply when written work is submitted after 11:59pm on the due date:

Deduction of 5% of the maximum mark for each calendar day after the due date.
After ten calendar days late, a mark of zero will be awarded.

Academic integrity

The Current Student website provides information on academic integrity and the resources available to all students. The University expects students and staff to act ethically and honestly and will treat all allegations of academic integrity breaches seriously.

We use similarity detection software to detect potential instances of plagiarism or other forms of academic integrity breach. If such matches indicate evidence of plagiarism or other forms of academic integrity breaches, your teacher is required to report your work for further investigation.

Use of generative artificial intelligence (AI) and automated writing tools

You may only use generative AI and automated writing tools in assessment tasks if you are permitted to by your unit coordinator. If you do use these tools, you must acknowledge this in your work, either in a footnote or an acknowledgement section. The assessment instructions or unit outline will give guidance of the types of tools that are permitted and how the tools should be used.

Your final submitted work must be your own, original work. You must acknowledge any use of generative AI tools that have been used in the assessment, and any material that forms part of your submission must be appropriately referenced. For guidance on how to acknowledge the use of AI, please refer to the AI in Education Canvas site.

The unapproved use of these tools or unacknowledged use will be considered a breach of the Academic Integrity Policy and penalties may apply.

Studiosity is permitted unless otherwise indicated by the unit coordinator. The use of this service must be acknowledged in your submission as detailed on the Learning Hub’s Canvas page.

Outside assessment tasks, generative AI tools may be used to support your learning. The AI in Education Canvas site contains a number of productive ways that students are using AI to improve their learning.

Learning support

Simple extensions

If you encounter a problem submitting your work on time, you may be able to apply for an extension of five calendar days through a simple extension.  The application process will be different depending on the type of assessment and extensions cannot be granted for some assessment types like exams.

Special consideration

If exceptional circumstances mean you can’t complete an assessment, you need consideration for a longer period of time, or if you have essential commitments which impact your performance in an assessment, you may be eligible for special consideration or special arrangements.

Special consideration applications will not be affected by a simple extension application.

Using AI responsibly

Co-created with students, AI in Education includes lots of helpful examples of how students use generative AI tools to support their learning. It explains how generative AI works, the different tools available and how to use them responsibly and productively.

Weekly schedule

WK	Topic	Learning activity
Week 01	Heat diffusion equation. Boundary and initial conditions	Lecture and tutorial (2 hr)
Week 01	Modes of heat transfer	Lecture and tutorial (1 hr)
Week 02	Thermal resistances	Lecture and tutorial (2 hr)
Week 02	Conduction with heat generation	Lecture and tutorial (1 hr)
Week 03	Extended surface (fins)	Lecture and tutorial (2 hr)
Week 03	2D conduction	Lecture and tutorial (1 hr)
Week 04	Semi-infinite solid	Lecture and tutorial (1 hr)
Week 04	Transient conduction. Lumped capacity analysis	Lecture and tutorial (2 hr)
Week 05	External flow correlations	Lecture and tutorial (1 hr)
Week 05	Convection boundary layer. Dimensionless equations	Lecture and tutorial (2 hr)
Week 06	Natural convection	Lecture and tutorial (1 hr)
Week 06	Internal forced convection	Lecture and tutorial (2 hr)
Week 07	Condensation	Lecture and tutorial (2 hr)
Week 07	Boiling	Lecture and tutorial (1 hr)
Week 08	Radiation	Lecture and tutorial (2 hr)
Week 08	Blackbody exchange	Lecture and tutorial (1 hr)
Week 09	Heat transfer equipment	Lecture and tutorial (1 hr)
Week 09	Heat exchanger calculations	Lecture and tutorial (2 hr)
Week 10	Design of heat exchangers	Lecture and tutorial (2 hr)
Week 10	Introduction of tube-shell heat exchangers	Lecture and tutorial (1 hr)
Week 11	Diffusion mass transfer	Lecture and tutorial (2 hr)
Week 11	Introduction to mass transfer	Lecture and tutorial (1 hr)
Week 12	Transient diffusion	Lecture and tutorial (2 hr)
Week 12	Convective mass transfer	Lecture and tutorial (1 hr)
Week 13	Simultaneous heat and mass transfer	Lecture and tutorial (2 hr)
Week 13	Interphase mass transfer	Lecture and tutorial (1 hr)

Attendance and class requirements

Students must attend lectures, tutorials and lab sessions. Attendance may be taken regularly.

Study commitment

Typically, there is a minimum expectation of 1.5-2 hours of student effort per week per credit point for units of study offered over a full semester. For a 6 credit point unit, this equates to roughly 120-150 hours of student effort in total.

Required readings

All readings for this unit can be accessed through the Library eReserve, available on Canvas.

Fundamentals of Heat and Mass Transfer, Author: Frank P. Incropera and David P. DeWitt Publisher: John Wiley & Sons
Fundamentals of Momentum, Heat, and Mass Transfer. Author: J. R. Welty, C. E. Wicks, R. E. Wilson, and G. Rorrer. Publisher: John Wiley & Sons

Learning outcomes

Learning outcomes are what students know, understand and are able to do on completion of a unit of study. They are aligned with the University's graduate qualities and are assessed as part of the curriculum.

Outcomes
Graduate qualities

At the completion of this unit, you should be able to:

LO1. report findings and synthesise conclusions accurately and informatively
LO2. work creatively and systematically with others in ensuring correct procedures and accurate results
LO3. design heat exchange equipment using overall heat transfer coefficient, fouling factors, LMTD, F-factor, equipment selection, insulation
LO4. compute heat transfer rate and/or temperature distribution for processes involving heat transfer
LO5. develop representative models of real processes and draw conclusion from analysis of pressure drop, fouling effects, performance evaluation (NTU), and changes in parameters
LO6. understand the mechanisms of heat transfer without phase change, including thermal conductivity, heat capacity, conduction, convection, free/force heat transfer coefficients/correlations, radiation, and combinations thereof
LO7. understand the mechanisms of heat transfer with phase change, including latent heat, boiling and condensation
LO8. understand the mechanisms of mass transfer, including diffusion mass transfer, transient diffusion, interphase mass transfer.

Graduate qualities

The graduate qualities are the qualities and skills that all University of Sydney graduates must demonstrate on successful completion of an award course. As a future Sydney graduate, the set of qualities have been designed to equip you for the contemporary world.

GQ1	Depth of disciplinary expertise Deep disciplinary expertise is the ability to integrate and rigorously apply knowledge, understanding and skills of a recognised discipline defined by scholarly activity, as well as familiarity with evolving practice of the discipline.
GQ2	Critical thinking and problem solving Critical thinking and problem solving are the questioning of ideas, evidence and assumptions in order to propose and evaluate hypotheses or alternative arguments before formulating a conclusion or a solution to an identified problem.
GQ3	Oral and written communication Effective communication, in both oral and written form, is the clear exchange of meaning in a manner that is appropriate to audience and context.
GQ4	Information and digital literacy Information and digital literacy is the ability to locate, interpret, evaluate, manage, adapt, integrate, create and convey information using appropriate resources, tools and strategies.
GQ5	Inventiveness Generating novel ideas and solutions.
GQ6	Cultural competence Cultural Competence is the ability to actively, ethically, respectfully, and successfully engage across and between cultures. In the Australian context, this includes and celebrates Aboriginal and Torres Strait Islander cultures, knowledge systems, and a mature understanding of contemporary issues.
GQ7	Interdisciplinary effectiveness Interdisciplinary effectiveness is the integration and synthesis of multiple viewpoints and practices, working effectively across disciplinary boundaries.
GQ8	Integrated professional, ethical, and personal identity An integrated professional, ethical and personal identity is understanding the interaction between one’s personal and professional selves in an ethical context.
GQ9	Influence Engaging others in a process, idea or vision.

Outcome map

Learning outcomes	Graduate qualities
Learning outcomes

Responding to student feedback

This section outlines changes made to this unit following staff and student reviews.

No changes have been made since this unit was last offered。

Additional information

Work, health and safety

Students must wear lab coat and safety goggle for lab sessions.

Disclaimer

The University reserves the right to amend units of study or no longer offer certain units, including where there are low enrolment numbers.

To help you understand common terms that we use at the University, we offer an online glossary.

Current students

Overview

Overview

Unit details and rules

Teaching staff

Assessment

Assessment

Assessment summary

Assessment criteria

Late submission

Academic integrity

Learning support

Learning support

Simple extensions

Special consideration

Using AI responsibly

Weekly schedule

Weekly schedule

Attendance and class requirements

Study commitment

Required readings

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Responding to student feedback

Responding to student feedback

Additional information

Additional information

Work, health and safety

Disclaimer

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