Outline

Overview

The unit aims to teach the fundamentals of manufacturing processes and systems in mechanical, mechatronic and biomedical engineering, including traditional and advanced manufacturing technologies. This unit aims to develop the following attributes: to understand the fundamental principles of manufacturing technologies for the above mentioned engineering areas; to gain the ability to select existing manufacturing processes and systems for direct engineering applications; to develop ability to create innovative new manufacturing technologies for advanced industrial applications; to develop ability to invent new manufacturing systems. At the end of this unit students will have a good understanding of the following: merits and advantages of individual manufacturing processes and systems; principles of developing new technologies; comprehensive applications and strategic selection of manufacturing processes and systems. Course content will include: CAD / CAM: An introduction into the use of CAD and manual CNC coding as separate tools combined with an introduction into the kinematics and structural requirements in the construction of a CNC machine. Rapid Engineering: An introduction into the most current Rapid Engineering methods currently in use. Manufacturing Processes: Common processes and their science (machining, casting, powder metallurgy, metal working, welding) and their relative merits and limitations.

Unit details and rules

Unit code	MECH3660
Academic unit	Aerospace, Mechanical and Mechatronic
Credit points	6
Prohibitions ?	None
Prerequisites ?	MECH2400 OR ENGG1960 OR AMME1960 OR BMET1960 OR MECH1560 OR ENGG1800
Corequisites ?	None
Assumed knowledge ?	None
Available to study abroad and exchange students	Yes

Teaching staff

Coordinator	Paul Briozzo, paul.briozzo@sydney.edu.au
Lecturer(s)	Karina Taylor, karina.taylor@sydney.edu.au

Type	Description	Weight	Due	Length
Assignment	Rapid Engineering Laboratory Group Report Group Report	5%	Multiple weeks	n/a
Outcomes assessed:
Assignment	Robot Assembly Laboratory Video Video Submission	5%	Multiple weeks	No longer than 90 seconds
Outcomes assessed:
Assignment	Assignment 0 - CNC Code Development CNC Code Development	10%	Week 05 Due date: 27 Mar 2020 at 23:00	n/a
Outcomes assessed:
Assignment	Assignment 1 - Kinematics of CNC Machines and Automation Report and LabVIEW File Submission	20%	Week 07 Due date: 09 Apr 2020 at 23:00	n/a
Outcomes assessed:
Small test	Quiz 1 - CNC Machining and Automation Quiz 1 assess content delivered in Weeks 1 to 6	20%	Week 07 Due date: 06 Apr 2020 at 11:00	50 Minutes
Outcomes assessed:
Assignment	Assignment 2 - Manufacturing Processes and Automation Report and LabVIEW File Submission	20%	Week 13 Due date: 29 May 2020 at 23:00	n/a
Outcomes assessed:
Small test	Quiz 2 - Manufacturing Processes and Automation Quiz 2 assess content delivered in Weeks 7 to 12	20%	Week 13 Due date: 26 May 2020 at 11:00	50 Minutes
Outcomes assessed:
= group assignment ?

Assessment summary

Assignment 0: Focuses on writing CNC code for a simple machine element.
Assignment 1: This has two parts and requires the basic design of a 3D printer and automation system using LabView.
Assignment 2: This has two parts and requires that students either compare manufacturing processes in the design of a component and automation system using LabView.
Rapid engineering laboratory group report: A group report focusing on the rapid engineering laboratory and individual research must be submitted no later than two weeks of attending the rapid engineering laboratory.
Robotic assembly laboratory video: A group video focusing on the robotic pick and place assembly laboratory must be submitted via the CANVAS ARC video submission system.

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 sydney.edu.au/students/guide-to-grades.

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.

You may only use artificial intelligence and writing assistance tools in assessment tasks if you are permitted to by your unit coordinator, and if you do use them, you must also acknowledge this in your work, either in a footnote or an acknowledgement section.

Studiosity is permitted for postgraduate units unless otherwise indicated by the unit coordinator. The use of this service must be acknowledged in your submission.

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	1. Introduction to Unit of Study and CNC Machining; 2. Manufacturing Automation - Introduction to Automation and Testing	Lecture and tutorial (4 hr)
Week 02	1. CNC Machining; 2. Manufacturing Automation - Data Acquisition and LabVIEW	Lecture and tutorial (4 hr)
Week 03	1. Cutting Forces plus Jigs and Fixtures; 2. Manufacturing Automation - Analogue Sampling and LabVIEW	Lecture and tutorial (4 hr)
Week 04	1. CNC Machining - Structure and Kinematics; 2. Manufacturing Automation - Data Processing with LabVIEW	Lecture and tutorial (4 hr)
Week 05	1. CNC Machining - Review Lecture; 2. Manufacturing Automation - Software Developments - Design Patterns	Lecture and tutorial (4 hr)
Week 06	1. Manufacturing Processes - Casting; 2. Manufacturing Automation - Review Lecture	Lecture and tutorial (4 hr)
Week 07	1. Quiz 1; 2. Manufacturing Automation - Automated Inspection Systems	Lecture and tutorial (4 hr)
Week 08	1. Manufacturing Processes - Shrink Fits; 2. Manufacturing Automation - Finding Measurements in VBAI	Lecture and tutorial (4 hr)
Week 09	1. Manufacturing Processes - Welding; 2. Manufacturing Automation - Measurements and OCR in VBAI	Lecture and tutorial (4 hr)
Week 10	1. Manufacturing Processes - Metal Forming Thin; 2. Manufacturing Automation - VBAI Tools and Vision in LabVIEW	Lecture and tutorial (4 hr)
Week 11	1. Manufacturing Processes - Forging; 2. Manufacturing Automation - Introduction to Motion Control	Lecture and tutorial (4 hr)
Week 12	1. Manufacturing Processes - Powder Metallurgy; 2. Manufacturing Automation - Review Lecture	Lecture and tutorial (4 hr)
Week 13	1. Manufacturing Processes - Review Lecture; 2. Quiz 2	Lecture and tutorial (4 hr)

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.

Paul Briozzo, MECH3660 8660 9660 Manufacturing Engineering.

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. Contribute to effective team processes
LO2. Understand the fundamental principles of manufacturing technologies for mechanical and mechatronic engineering
LO3. Discuss the major problems in the current manufacturing practice and provide suggestions to overcome or improve them
LO4. Determine the functional requirements of a product in terms of application and suitability
LO5. Discuss the merits and disadvantages of an individual manufacturing method
LO6. Determine the basic manufacturing considerations necessary to realise the function, including the selection of materials and the manufacturing method, taking into account the strength and reliability
LO7. Display familiarity in the use of CNC machining in manufacturing

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.

Content related to Manufacturing Processes and Automation have been expanded in 2020.

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

Study commitment

Required readings

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Responding to student feedback

Responding to student feedback

Disclaimer

On this page

Useful links

Media

Student links

About us

Connect

Current students

MECH3660: Manufacturing Engineering

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

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

Study commitment

Required readings

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Responding to student feedback

Responding to student feedback

Disclaimer

On this page

Useful links

Media

Student links

About us

Connect