Unit outline_

MECH3460: Mechanical Systems Design 2

Semester 2, 2026 [Normal day] - Camperdown/Darlington, Sydney

This unit aims to apply some newly acquired skills to begin to understand how stress and strain are distributed in the more common categories of machine parts. Reducing the loads in standard parts to just the most significant, leads to a range of relatively simple analyses. By using different degrees of simplification and a proportional amount of effort, the examination of components can provide results of corresponding accuracy. To lead the student to utilise and be aware of modern computer methods, to be aware of past methods and be prepared of future developments. Not all the analysis of mechanical components are covered in the course but the ones that are deal with exemplify principles that can be applied to novel items that our graduates may encounter in their professional life. At the end of this unit students will be able to: apply fatigue life prediction in general to any component; design a bolted joint to carry tensile and or shear loads: use a numerical solver to arrive at the optimal dimensions of a component, given its loads and sufficient boundary conditions; design shafts to carry specified steady and alternating bending moments and torques; design and construct a space frame, such as that for a dune buggy, to meet requirements of strength and rigidity; be able to arrive at the principle parameters of a pair of matched spur gears, and to be able to extend this to helical gears. Course content will include: stress and strain in engineering materials; yield and ultimate fail conditions in malleable and brittle materials; spatial, 3D frameworks; deflections due to forces, moments and torques.

Unit details and rules

Academic unit Aerospace, Mechanical and Mechatronic
Credit points 6
Prerequisites
? 
AMME2000 and MECH2400 and AMME2301
Corequisites
? 
None
Prohibitions
? 
MECH9460
Assumed knowledge
? 

Properties of engineering materials including fatigue failure theories. Statics and dynamics properties of machines

Available to study abroad and exchange students

Yes

Teaching staff

Coordinator Ashley Roach, ashley.roach@sydney.edu.au
The census date for this unit availability is 31 August 2026
Type Description Weight Due Length Use of AI
Written exam Final Exam
Paper-based exam, 2-hours, closed book. General formulas will be provided.
30% Formal exam period 2 hours AI prohibited
Outcomes assessed: LO2 LO3 LO4 LO5
Contribution Early Feedback Task In class engagement
Engagement with course content quantified with weekly online quizzes. Quizzes are 0.5% each and are intended to probe retention and synthesis of course material and to probe depth of tutorial participation.
5% Ongoing 10 online quizzes (weekly) AI allowed
Outcomes assessed: LO1 LO2 LO3 LO4 LO5
Attendance - accreditation or faculty requirement Course and tutorial attendance
Attendance in lectures (in-person or online) and tutorials (in-person) is required. Online lecture attendance will be granted if the recording is watched on the same day as the lecture. Less than 80% attendance in EITHER lectures OR tutorials nets a 0%.
5% Ongoing 2 lectures and 1 tutorial weekly Not applicable
Outcomes assessed: LO1 LO2 LO3 LO4 LO5
Data analysis Assignment 1 - Part optimisation for static and dynamic loads
The use of FEA and analytical methods in a design case in a written report format
20% Week 05
Due date: 31 Aug 2026 at 23:59

Closing date: 05 Sep 2026
Maximum of 5 A4 pages in total AI allowed
Outcomes assessed: LO4 LO1 LO2
Data analysis Assignment 2 - Joint optimisation for static and dynamic loads
The use of FEA and analytical methods in a design case in a written report format
20% Week 09
Due date: 05 Oct 2026 at 23:59

Closing date: 10 Oct 2026
Maximum of 5 A4 pages in total AI allowed
Outcomes assessed: LO1 LO3 LO4
Case studies group assignment Assignment 3a - Frame Design
The use of FEA and analytical methods in a design case in a written report format
10% Week 13
Due date: 02 Nov 2026 at 23:59

Closing date: 07 Nov 2026
Maximum of 5 A4 pages in total AI allowed
Outcomes assessed: LO1 LO2 LO3 LO4 LO5
Presentation group assignment Assignment 3b - Frame design
Group presentation in tutorial, 10 min total time allotment for presentation and questions.
10% Week 13 5-7 min group presentation AI allowed
Outcomes assessed: LO2 LO3 LO4 LO5
group assignment = group assignment ?
early feedback task = early feedback task ?

Assessment summary

  • Assignment 1: Apply analytical and SolidWorks skills to a given structure and demonstrate good practice in mechanical design for presentation in a report format. 
  • Assignment 2: Apply analytical and SolidWorks skills to a given system and demonstrate good practice in mechanical design for presentation in a report format.
  • Assignment 3a: Research, analyse and produce a systems engineering project in report format comprised of combined course topics.
  • Assignment 3b: Give a group presentation of 5 to 7 minutes duration on the chosen project topic in the relevant tutorial.

Detailed information for each assessment can be found on Canvas.

Note Sparkplus will be used for groupwork with final individual mark affected by RPF value. See details in Sparkplus module 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

Awarded when you demonstrate the learning outcomes for the unit at an exceptional standard, as defined by grade descriptors or exemplars outlined by your faculty or school.

Distinction

75 - 84

Awarded when you demonstrate the learning outcomes for the unit at a very high standard, as defined by grade descriptors or exemplars outlined by your faculty or school.

Credit

65 - 74

Awarded when you demonstrate the learning outcomes for the unit at a good standard, as defined by grade descriptors or exemplars outlined by your faculty or school.

Pass

50 - 64

Awarded when you demonstrate the learning outcomes for the unit at an acceptable standard, as defined by grade descriptors or exemplars outlined by your faculty or school.

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.

Use of generative artificial intelligence (AI)

You can use generative AI tools for open assessments. Restrictions on AI use apply to secure, supervised assessments used to confirm if students have met specific learning outcomes.

Refer to the assessment table above to see if AI is allowed, for assessments in this unit and check Canvas for full instructions on assessment tasks and AI use.

If you use AI, you must always acknowledge it. Misusing AI may lead to a breach of the Academic Integrity Policy.

Visit the Current Students website for more information on AI in assessments, including details on how to acknowledge its use.

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.

Academic integrity

The University expects students to act ethically and honestly and will treat all allegations of academic integrity breaches seriously.

Our website provides information on academic integrity and the resources available to all students. This includes advice on how to avoid common breaches of academic integrity. Ensure that you have completed the Academic Honesty Education Module (AHEM) which is mandatory for all commencing coursework students

Penalties for serious breaches can significantly impact your studies and your career after graduation. It is important that you speak with your unit coordinator if you need help with completing assessments.

Visit the Current Students website for more information on AI in assessments, including details on how to acknowledge its use.

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.

Support for students

The Support for Students Policy reflects the University’s commitment to supporting students in their academic journey and making the University safe for students. It is important that you read and understand this policy so that you are familiar with the range of support services available to you and understand how to engage with them.

The University uses email as its primary source of communication with students who need support under the Support for Students Policy. Make sure you check your University email regularly and respond to any communications received from the University.

Learning resources and detailed information about weekly assessment and learning activities can be accessed via Canvas. It is essential that you visit your unit of study Canvas site to ensure you are up to date with all of your tasks.

If you are having difficulties completing your studies, or are feeling unsure about your progress, we are here to help. You can access the support services offered by the University at any time:

Support and Services (including health and wellbeing services, financial support and learning support)
Course planning and administration
Meet with an Academic Adviser

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 Self-directed learning (90 hr) LO3 LO2 LO5 LO1 LO4
Week 01 Introduction to unit; review of statics theory Lecture (2 hr) LO2
Week 02 Applied use of Finite element analysis (FEA) in mechanical design context; component optimisation with FEA Lecture (2 hr) LO2 LO1
Introduction to unit and component optimisation through the use of Finite Element Analysis (FEA) Tutorial (2 hr) LO2 LO1
Week 03 Review of solid mechanics in the context of component fatigue and failure; fracture mechanics Lecture (2 hr) LO2 LO4
Fatigue case study through the use of FEA and analytical techniques Tutorial (2 hr) LO2 LO1 LO4
Week 04 Non-permanent joints under static loading Lecture (2 hr) LO3
Coupling design through the use of FEA and analytical techniques Tutorial (2 hr) LO3 LO1
Week 05 Non-permanent joints under dynamic loading Lecture (2 hr) LO3 LO4
Bolted joint preloading analysis through the use of FEA and analytical techniques Tutorial (2 hr) LO3 LO1 LO4
Week 06 Permanent joints under static loading; weld and adhesive joint design Lecture (2 hr) LO3
Weld design through the use of FEA and analytical techniques Tutorial (2 hr) LO3 LO2 LO1
Week 07 Permanent joints under dynamic loading Lecture (2 hr) LO3 LO2 LO4
Weld failure case study through the use of FEA and analytical techniques Tutorial (2 hr) LO3 LO1 LO4
Week 08 Spring design and analysis Lecture (2 hr) LO2 LO4
Spring design through the use of FEA and analytical techniques Tutorial (2 hr) LO2 LO1 LO4
Week 09 Shaft design and analysis Lecture (2 hr) LO5 LO4
Prior art review for group design project Tutorial (2 hr) LO3 LO2 LO5 LO1 LO4
Week 10 Cam and gear design Lecture (2 hr) LO5 LO4
Shaft design through the use of FEA and analytical techniques Tutorial (2 hr) LO5 LO1
Week 11 Frame and structure design; trusses, cantilevers and space frames Lecture (2 hr) LO3 LO2 LO5 LO1 LO4
Truss/frame design through the use of FEA and analytical techniques Tutorial (2 hr) LO1 LO4
Week 12 Systems reliability and maintainability; risk assessment Lecture (2 hr) LO5 LO4
Systems reliability analysis and risk assessment case study Tutorial (2 hr) LO4
Week 13 Case studies in mechanical design; unit summary Lecture (2 hr) LO3 LO2 LO5 LO1 LO4
Group presentations Tutorial (2 hr) LO3 LO2 LO5 LO1 LO4

Attendance and class requirements

5% assessment related to lecture and tutorial attendance and 5% assessment for course engagement as defined in Canvas module. Online quizzes are used to quantify engagement with course content. 

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

There are no prescribed readings for this unit, but the following are recommended as references. Other editions are acceptable beyond those listed below.

          Print copy: 9789813158986 McGraw Hill Website:

         https://www.mheducation.com.au/shigley-s-mechanical-engineering-design-11th-edition-si-units-9789813158986-aus

          eBook: 9789814923156

          https://www.vitalsource.com/en-au/products/shigley-39-s-mechanical-engineering-design-in-si-richard-g-budynas-j-keith-v9789814923156

  • Engineering Analysis with SolidWorks Simulation 2021

         Paul M. Kurowski SDC Publications

         https://www.sdcpublications.com/Textbooks/Engineering-Analysis-SOLIDWORKS-Simulation-2021/ISBN/978-1-63057-383-6/

        ISBN-13: 978-1-63057-383-6

        ISBN-10: 1-63057-383-3

  • Motion Simulation and Mechanism Design with SolidWorks Motion 2021

         Kuang-Hua Chang SDC Publications

         https://www.sdcpublications.com/Textbooks/Motion-Simulation-Mechanism-Design-SOLIDWORKS/ISBN/978-1-63057-388-1/

        ISBN-13: 978-1-63057-388-1

        ISBN-10: 1-63057-388-4

 

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. Be able to use Computer-Aided Design (CAD) and Finite Element Analysis (FEA) to generate and optimise designs for structural applications.
  • LO2. Be able to design and optimise structural components to meet requirements such as strength and rigidity.
  • LO3. Be able to design and optimise permanent and non-permanent joints using analytical and numerical methods.
  • LO4. Be able to design for fatigue life prediction for a designed component using analytical methods.
  • LO5. Be able to design moving component elements subject to kinematic and dynamic loading including steady and alternating bending moments and torques.

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

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

Unit review and USS feedback have been incorporated into the 2026 delivery of MECH3460. Adjustments to some tasks and a final written exam introduced in S2 2026.

To be advised.

Additional costs

Not applicable.

Site visit guidelines

Not applicable.

Work, health and safety

Not additional WHS requirements are applicable.

Disclaimer

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