Course Title: Computational Engineering for Automobile Applications
Part A: Course Overview
Course Title: Computational Engineering for Automobile Applications
Credit Points: 12.00
Terms
Course Code |
Campus |
Career |
School |
Learning Mode |
Teaching Period(s) |
|
AUTO1033 |
City Campus |
Postgraduate |
115H Aerospace, Mechanical & Manufacturing Engineering |
Face-to-Face | Sem 1 2008, Sem 2 2008, Sem 1 2009, Sem 2 2009, Sem 1 2010, Sem 1 2011, Sem 1 2012, Sem 1 2013, Sem 1 2014, Sem 1 2015, Sem 1 2016 |
|
AUTO1033 |
City Campus |
Postgraduate |
172H School of Engineering |
Face-to-Face | Sem 1 2017, Sem 1 2018, Sem 1 2019 |
Course Coordinator: Dr Mladenko Kajtaz
Course Coordinator Phone: +61 3 9925 6122
Course Coordinator Email: mladenko.kajtaz@rmit.edu.au
Course Coordinator Availability: Email for appointment
Pre-requisite Courses and Assumed Knowledge and Capabilities
None
Course Description
This course aims to develop an awareness of CAE techniques applied in the Automotive industry, their role and limitations. You will be introduced to the latest interactive modelling and simulation techniques and commercial software. This will provide you with the capability to interpret and evaluate models and simulations results obtained from CAE automotive applications. The course covers the following key topics:
• Virtual Analysis of Automotive Structures
This topic introduces you to the basics of CAE techniques utilized for automotive structural analysis and virtual product development. It is designed to introduce you to the potential and limitations of different finite element analysis techniques in solving problems related to automotive structures. You will be required to carry out practical applications of the finite element method to automotive structures.
• Automotive Applications of Computational Fluid Dynamics:
This topic introduces you to computational fluid dynamics (CFD) and numerical heat transfer (NHT) modelling technology and their application in the design and optimisation of automotive bodies and components. The main objective is to develop your understanding of fundamental theories, approaches and methodologies used in CFD. This will allow you to develop the skills needed for the actual implementation of CFD methods using commercial software.
Objectives/Learning Outcomes/Capability Development
This course contributes to the following Program Learning Outcomes:
2. Problem Solving and Design
• Anticipate the consequences of intended action or inaction and understand how the consequences are managed collectively by your organisation, project or team
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 underpinning natural, physical and engineering sciences, mathematics, statistics, computer and information sciences.
4. Professional Practice
• Initiate, plan, lead or manage engineering activities
• Display a personal sense of responsibility for your work
5. Research
• Assess, acquire and apply the competencies and resources appropriate to engineering activities
Course Learning Outcomes (CLOs):
On completion of this course you should be able to:
1. Solve simple mechanical and automotive engineering problems using mathematical and numerical techniques,
2. Explain the role and purpose of CAE in a range of automotive applications
3. Model simple structures using the Finite Element Method (FEM)
4. Model simple engineering systems using Computational Fluid Dynamics (CFD)
5. Characterise the scope, constraints and anticipated results for each method
6. Utilise up-to-date interactive modelling and simulation techniques, and commercial software in the field.
7. Analyse and evaluate models obtained from CAE automotive applications
8. Extract and interpret simulations results of the numerical simulations.
9. Write professional reports
Overview of Learning Activities
Learning experiences in this course will include:
1. Formal interactive combined lecture/tutorial classes;
2. Problem-solving and lab demonstrations in computer labs;
3. Performing FEM simulations
4. Performing CFD simulations
5. Hands-on training in computer labs
6. Working independently on-campus and off-campus;
7. CAE report writing, so enhancing communication skills.
Overview of Learning Resources
The following learning resources are made available:
• Learning package
• Several recommended references.
• Examples of FEM simulations
• Examples of CFD simulations
• Additional summarised notes
• Simulation program documentation
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 tasks
Assessment Task 1 (early assessment Task):
You will undertake a problem based assignment related to CFD which will involve a case study including problem definition, simulation, and results. This will include investigation, assessment and interpretation of modelling and simulation results. You will be required to submit a written report outlining your findings.
Total Weighting for Assessment Task 1: 50%
This assessment task supports CLOs 1, 2, 4, 5, 6, 7, 8, 9
Assessment Task 2: FEM Analysis and modelling
Part A: Introduction to FEA :
Written Professional Report, weight 10%
This assessment task supports CLOs 1, 2, 3, 5, 7, 9
Part B: Truss and Beam Modelling:
Written Professional Report, weight 20%,
This assessment task supports CLOs 1, 2, 3, 5, 6, 7, 8, 9
Part C: 3D, Plane and Shell Modelling:
Written Professional Report, weight 20%
This assessment task supports CLOs 1, 2, 3, 5, 6, 7, 8, 9
Total Weighting for Assessment Task 2: 50%