Course Title: Advanced CAE

Part A: Course Overview

Course Title: Advanced CAE

Credit Points: 12.00

Terms

Course Code

Campus

Career

School

Learning Mode

Teaching Period(s)

MIET2491

City Campus

Postgraduate

115H Aerospace, Mechanical & Manufacturing Engineering

Face-to-Face

 Sem 2 2016

MIET2491

City Campus

Postgraduate

172H School of Engineering

Face-to-Face

 Sem 2 2017,
Sem 2 2018,
Sem 2 2019,
Sem 2 2020,
Sem 2 2021,
Sem 2 2022,
Sem 2 2023

Course Coordinator: Prof. Mohammad Fard

Course Coordinator Phone: +61 3 9925 6044

Course Coordinator Email: mohammad.fard@rmit.edu.au

Course Coordinator Location: Bundoora East Campus 251.03.023

Course Coordinator Availability: by appointment


Pre-requisite Courses and Assumed Knowledge and Capabilities

None.


Course Description

The course is concerned with the application of Computer Aided Engineering (CAE) in design and engineering of mechanical systems. You will develop advanced knowledge and skills in CAE modelling and simulation. This includes problem definition, analysis, modelling, simulation, and interpretation of modelling and simulation results. You will then apply these skills in the completion of specific learning activities such as a design project, report, testing and prototyping and an oral presentation. Upon completion of this course you will be able to utilise these CAE techniques in design and engineering of mechanical systems. This course further develops the generic skills of teamwork, planning, leadership, and communication       


Objectives/Learning Outcomes/Capability Development

Program Learning Outcomes (PLOs)

This course contributes to the development of the following program learning outcomes:


1. Needs, Context and Systems

  • Describe, investigate and analyse complex engineering systems and associated issues (using systems thinking and modelling techniques)


2. Problem Solving and Design

  • Develop creative and innovative solutions to engineering problems


3. Analysis

  • Comprehend and apply advanced theory-based understanding of engineering fundamentals and specialist bodies of knowledge in the selected discipline area to predict the effect of engineering activities.
  • Apply understanding of mathematics, natural, physical, engineering, and computer sciences 


4.Professional Practice

  • Apply systematic approaches to the conduct and measurement of engineering projects
  • Demonstrate effective team membership and team leadership
  • Communicate in a variety of different ways to collaborate with other people.

 


Upon completion of this course you should be able to:

  1. Apply computer-based virtual design to mechanical systems,
  2. Predict and evaluate the performance of mechanical systems using a range of computer aided engineering tools, taking into consideration the limitations of the modelling techniques,
  3. Perform realistic simulation of mechanical systems to explore design alternatives and identify optimal performance,
  4. Define and apply the concepts of mathematics and numerical analysis in the context of engineering design and development,
  5. Demonstrate the ability to work both autonomously and as a member of a team in solving computer aided design and engineering problems.


Overview of Learning Activities

Learning activities throughout the course include:  
The course notes, tutorials, presentations, group discussions, project work, and computer based analysis exercises.
 


Overview of Learning Resources

Comprehensive notes will be provided for each topic and you are expected to use out of class study time to review them so as to keep up with the progress of the course. Some classes will be spent in case study CAE modelling and analyses. It is essential that you devote sufficient time reading each case ahead of the class in preparation for contributing actively to the discussion.


Overview of Assessment

X This course has no hurdle requirements.

☐ All hurdle requirements for this course are indicated clearly in the assessment regime that follows, against the relevant assessment task(s) and all have been approved by the College Deputy Pro Vice-Chancellor (Learning & Teaching)

 

Assessment Task 1:  Homework
Weighting of final grade: 30%
Related course learning outcomes: 1, 2, 3, 4
Description:  You will undertake problem-based homework related to the selected option of the course. This will involve CAE case studies including problem definition, analysis, modelling, simulation, and interpretation of modelling and simulation results.

Assessment Task 2:  Major assignment
Weighting of final grade: 50%
Related course learning outcomes:  1, 2, 3, 5
Description:  There will be a major assignment in you will develop your own CAE model for CAE engineering and design. You will be required to provide brief presentations of your simulations.

Assessment Task 3:  Online Assessment
Weighting of final grade: 20%
Related course learning outcomes: 1, 2, 3, 4
Description:  This online time-limited within a time window assessment will test your ability and understanding to analyse CAE Modelling and Simulation, make the appropriate design decisions as well as your ability to interpret the resulting outcomes of a simulation.