Course Title: Intelligent Materials and Processes

Part A: Course Overview

Course Title: Intelligent Materials and Processes

Credit Points: 12.00


Course Code




Learning Mode

Teaching Period(s)


City Campus


115H Aerospace, Mechanical & Manufacturing Engineering


Sem 2 2006,
Sem 2 2007,
Sem 1 2011,
Sem 1 2013,
Sem 1 2014

Course Coordinator: Prof. Sabu John

Course Coordinator Phone: +61 3 9925 6007

Course Coordinator Email:

Pre-requisite Courses and Assumed Knowledge and Capabilities

None but some knowledge of Mechanics of Materials and Materials is desired.

Course Description

In this course, you will build on your knowledge of materials and advanced materials. You will learn about materials and processes and how added features such as sensing and actuation can be integrated into materials.You will emerge from this course with a working knowledge of the state-of-the-art in integrative materials, novel manufacturing techniques and signal processing  developments, Design-For-Manufacturing, and environmental issues with regard to material selection and degradation.

Objectives/Learning Outcomes/Capability Development

This course contributes to 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
  • 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


4. Professional Practice

  • Communicate in a variety of different ways to collaborate with other people, including accurate listening, reading and comprehension, based on dialogue when appropriate, taking into account the knowledge, expectations, requirements, interests, terminology and language of the intended audience


5. Research

  • Plan and execute a substantial research-based project, with creativity and initiative in new situations in professional practice and with a high level of personal autonomy and accountability


Course Learning Outcomes (CLOs)

On completion of this course you should be able to:

  1. Recognise the opportunities for improving the performance of an engineering structure by added functionalities such as sensing and actuation.
  2. Make informed decisions in recommending alternate systems to existing ones.
  3. Design multi-functional material-based systems
  4. Approach material-based problems in manufacturing with a focus on development trends.
  5. Analyse creatively and critically issues in materials-based  manufacturing
  6. Communicate your findings in written and oral forms effectively

Overview of Learning Activities

The learning activities will include:

  1. Solving of 3-4 problem sheets related to the course content.
  2. Active class discussions on the governing equations and how these relate to real-life applications
  3. Research-based group work on technologies related to Intelligent materials.
  4. Laboratory exploration of novel additive manufacturing technologies and how these 


Overview of Learning Resources

All notes and problems sheets will be available on the course Blackboard (accessed via myRMIT). The RMIT Library will be used for the research-based assignment.

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

Early Assessment Task (Group):  (Propose a 3-page research proposal – Background, problem, gaps)

Weighting - 10%
This assessment task supports CLOs 1, 3, 5

Assessment Task 2 (Group): 
(Research Report)

Weighting  - 25%
This assessment task supports CLOs 1, 5, 6

Assessment Task 3 (Group): Class presentation

Weighting -  15%
This assessment task supports CLO 6

Assessment 4: (Examination)

Weighting 50% 
This assessment supports CLOs 1, 2, 3, 4, 5