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During 2021 we will continue to support students who need to study remotely due to the ongoing impacts of COVID-19 and travel restrictions. Make sure you check the location code when selecting a unit outline or choosing your units of study in Sydney Student. Find out more about what these codes mean. Both remote and on-campus locations have the same learning activities and assessments, however teaching staff may vary. More information about face-to-face teaching and assessment arrangements for each unit will be provided on Canvas.

Unit of study_

AMME5902: Computer Aided Manufacturing

The aim of this course is to enhance the student's manufacturing engineering skills in the CAD/CAM area. The course focuses on CNC milling as a manufacturing automation process applied to a project. The management, planning and marketing of a typical engineering project are also discussed. Through integrated project-based learning and hands-on-machine training, you will learn: How to successfully complete a CAD/CAM and CNC mill based project; Manufacturing management and system skills, such as product planning, manufacturing sequence, time and cost; The science in designing and selecting a manufacturing method; How to effectively present your ideas and outcomes using oral and report based methods. It is expected that through your hard work in the semester, you will find: Enhanced learning by real-world problems; Improved comprehensive skill in manufacturing design.

Details

Academic unit Aerospace, Mechanical and Mechatronic
Unit code AMME5902
Unit name Computer Aided Manufacturing
Session, year
? 
Semester 2, 2021
Attendance mode Normal day
Location Remote
Credit points 6

Enrolment rules

Prohibitions
? 
None
Prerequisites
? 
None
Corequisites
? 
None
Available to study abroad and exchange students

Yes

Teaching staff and contact details

Coordinator Paul Briozzo, paul.briozzo@sydney.edu.au
Demonstrator(s) Freddy Santiago Caro Diaz , fcar1211@uni.sydney.edu.au
Lecturer(s) Paul Briozzo , paul.briozzo@sydney.edu.au
Tutor(s) Thai Nguyen , thai.nguyen@sydney.edu.au
Md Musharraf Hossain, m.hossain@sydney.edu.au
Type Description Weight Due Length
Assignment Assignment 1 - CNC code generation
CNC Code Submission
15% Week 05
Due date: 10 Sep 2021
Max 5 pages
Outcomes assessed: LO1 LO2 LO3
Assignment CNC Mill Laboratory CC/RE
CNC Mill Laboratory
5% Week 08
Due date: 08 Oct 2021
Tour and 1.5 hour online quiz
Outcomes assessed: LO1 LO2 LO3 LO4
Assignment Assignment 2 - Fixture Design / Forces
Fixture Design / Forces
15% Week 08
Due date: 08 Oct 2021
Max 10 pages
Outcomes assessed: LO1 LO3 LO4
Assignment Assignment 3 - Kinematics of Rapid Engineering
Kinematics of Rapid Engineering
15% Week 10
Due date: 22 Oct 2021
Max 10 pages
Outcomes assessed: LO3 LO4 LO7 LO11
Assignment group assignment Rapid Engineering Laboratory CC/RE
Rapid Engineering Laboratory
5% Week 11
Due date: 29 Oct 2021
Max 10 pages
Outcomes assessed: LO3 LO4 LO7
Assignment group assignment Robot Assembly Laboratory CC/RE
Robot Assembly Laboratory
5% Week 13
Due date: 12 Nov 2021
Max 10 pages
Outcomes assessed: LO4 LO9
Assignment group assignment System Engineering Presentation
Video on Systems Engineering Project in prerecorded MP4 format
10% Week 13
Due date: 12 Nov 2021
5 to 6-minute video
Outcomes assessed: LO2 LO3 LO4 LO5 LO6 LO8 LO9 LO10
Assignment group assignment Systems Engineering Report
Systems Engineering Report
30% Week 13
Due date: 12 Nov 2021
Max 30 pages
Outcomes assessed: LO2 LO3 LO4 LO5 LO6 LO8 LO9 LO10
group assignment = group assignment ?

Assignment 1: CNC code generation. CNC code to be submitted as a .nc file.

Assignment 2: Fixture Design / Forces. Fixture and force analysis assignment to be submitted as a report with calculations.

Assignment 3: Kinematics of Rapid Engineering. Kinematics of Rapid Engineering analysis assignemnt to be submitted as a report with calcululations.

Systems Engineering Presentation: A group presentation of 5 to 6 minutes in duration. The format required is in a pre-recorded video (.mp4 format) which focuses on the Systems Engineering task.

Systems Engineering Report: A final report which includes the many themes covered in the Unit of Study and is focused on the manufacturing of an assembly from a Systems Engineering approach.

Virtual CNC Mill Laboratory: An online version of the CNC Mill Demonstration Laboratory that enables students to interact with CNC maching scenarios.

Virtual Rapid Engineering Laboratory: A report submission that enables students to undertake a Rapid Engineering task using the available Ultimaker software. 

Virtual Robot Assembly Laboratory: A report submission that enables students to undertake a Robot Assembly task using the available CoppeliaSim software.

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.

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.

This unit has an exception to the standard University policy or supplementary information has been provided by the unit coordinator. This information is displayed below:

Late penalties are in accordance with University Guidelines.

Special consideration

If you experience short-term circumstances beyond your control, such as illness, injury or misadventure or if you have essential commitments which impact your preparation or performance in an assessment, you may be eligible for special consideration or special arrangements.

Academic integrity

The Current Student website provides information on academic honesty, academic dishonesty, 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 dishonesty or plagiarism seriously.

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

WK Topic Learning activity Learning outcomes
Ongoing Non-contact independent work doing research, homework, and working on assignments, group meetings, and prior readings across multiple weeks. (90 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7 LO8 LO9 LO10 LO11
Week 01 Introduction to unit of study and CAD (2 hr) LO1 LO2
Week 02 CAD SolidWorks refresher or CNC machining (2 hr) LO1 LO2
Writing CNC machine code (2 hr) LO1 LO2
Week 03 Writing CNC machine code (2 hr) LO1 LO2
CNC machining and CIMCO (2 hr) LO1 LO2
Week 04 CNC machining and CIMCO (2 hr) LO1 LO2
3D Printing, machining fixtures, jigs and forces (2 hr) LO3 LO7
Week 05 3D Printing, machining fixtures, jigs and forces (2 hr) LO3 LO7
Construction and kinematics of CNC machines (2 hr) LO4
Week 06 Construction and kinematics of CNC machines (2 hr) LO4
CAMWorks 2.5 axis machining (2 hr) LO8
Week 07 CAMWorks 2.5 axis machining (2 hr) LO8
3D Scanning (2 hr) LO6
Week 08 CAMWorks 3 axis machining (2 hr) LO2 LO4 LO8
Week 09 CAMWorks 3 axis machining (2 hr) LO2 LO4 LO8
Robot arm programming (2 hr) LO9
Week 10 Robot arm programming (2 hr) LO9
CAMWorks post processors (2 hr) LO8 LO10
Week 11 CAMWorks post processors (2 hr) LO8 LO10
Process engineering (2 hr) LO11
Week 12 Process engineering (2 hr) LO11
Manufacturing numerical models (2 hr) LO11
Week 13 Manufacturing numerical models (2 hr) LO11
Systems Engineering Project Super Tutorial (2 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7 LO8 LO9 LO10 LO11

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.

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.

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

  • LO1. Interpret a design within the context of how it will be manufactured using a subtractive manufacturing.
  • LO2. Write Computer Numerical Control (CNC) codes using a simulator and be able to apply them to manufacture a component using a CNC machine.
  • LO3. Gain skills in selecting and designing jigs and fixtures to be used in the manufacture of a component.
  • LO4. Understand the structure and kinematics of a CNC machine and be able to select an appropriate number of axes and motors for the machine's design.
  • LO5. Gain skills in Systems Engineering, product planning, manufacturing sequence, time, teamwork, project management, cost and express the outcomes in a comprehensive report.
  • LO6. Understand the nomenclature, standards, and the selection process for the different commercially available 3D scanning systems with consideration for their relative merits.
  • LO7. Understand the nomenclature and selection process for different commercially available 3D printing systems with consideration for their relative merits and the .stl file format.
  • LO8. Use SolidWorks combined with CAMWorks to be introduced to multi-axis machining components that have complex non-orthogonal geometry.
  • LO9. Gain skills in the use of offline Robot Programming software packages such as the Robot Tool Box for MATLAB and CoppeliSim.
  • LO10. Gain skills in the development and compiling of Post Processors for use within machining packages such as CAMWorks.
  • LO11. Gain skills in the development of numerical machining models in Process Engineering.

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
GQ1 GQ2 GQ3 GQ4 GQ5 GQ6 GQ7 GQ8 GQ9
The UOS has been revised to accommodate a Systems Engineering approach towards the Manufacturing Project. Additionally a topic on the numerical modelling of manufacturing processes in Week 12 and 13 has also been added.

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.