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MEC4422

Engineering practices: optimal design

B T Kuhnell

4 points * 22 lecture hours, 22 tutorial hours * First semester * Clayton * Prerequisites: MEC3403

Objectives To understand the need for optimal solutions to design problems, the nature of optimisation problems and that real problems have constraints and to gain knowledge of optimisation techniques.

Synopsis Figures of merit, single variable optimisation, selection of optimal materials, multivariable optimisation, optimisation techniques. FEM, FEA, boundary conditions, symmetry, displacement loading, press fits, rigid links, seam/spot welds, advanced FEA.

Assessment Written: 100%

Recommended texts

Balachandran M B Knowledge based optimum design Computational Mechanics Publications, 1993

Baumeister (ed.) Marks' handbook for mechanical engineers McGraw-Hill

Wilde B Foundations of optimization Prentice-Hall


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Published by Monash University, Clayton, Victoria 3168
Copyright © Monash University 1996 - All Rights Reserved - Caution
Authorised by the Academic Registrar December 1996