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Undergraduate |
(ENG)
|
Leader:
Offered:
Clayton Second semester 2006 (Day)
Synopsis: An introduction to the computational/modeling approaches currently available in materials science and engineering is provided. The reasons for using modeling approaches are discussed and the different types of models available are outlined. For each of the length scales important in understanding material behavior (nano-, micro-, meso- and macro-), the available modelling techniques are outlined and their principles, methods of implementation, advantages, disadvantages and perceived future developments are discussed. Examples of modelling approaches will be selected from all classes of materials. The general methodology used for constructing models is emphasised.
Objectives: On successful completion of this course students will: 1. understand the role (and potential role) of modelling and simulation in understanding material behaviour 2. appreciate the different types of modelling approaches that can be used (empirical, semi-empirical, physically-based, etc) and the advantages and disadvantages of each 3. understand the methodology used to construct and test models in materials science and engineering 4. understand the general principles, advantages and disadvantages underlying the most common modelling techniques used in materials science and engineering and the time and length scale at which they are applicable 5. for a given problem in materials science and engineering, understand exactly which types of modelling approaches could provide helpful insight to the problem, and experience formulating a model for the problem, simulating results and analysing the outcomes.
Assessment: Examination (2 hours): 30% + Major Assignment: 40% + Minor Assignment: 15% + Test: 15%
Contact Hours: Three 1 hour lecture/tutorial classes, one 2 hour laboratory class and seven hours of private study per week.
Prerequisites: MSC3111 or MTE3542
Prohibitions: MTE3590