Genetic Algorithms And Finite Element Coupling
For Mechanical Optimization
Author(s)
G. Corriveau, R. Guilbault & A. Tahan
Abstract
Optimization of mechanical components is an important aspect of the
engineering process; a well-designed system will lead to money saving during
the production phase and better machine life. On the other hand, optimization
actions will increase the engineering investment. Consequently, and since
computer time is inexpensive, an efficient design strategy will tend to transfer
the effort from the staff to the computers. This paper presents an efficient design
tool made to carry out this task: a new optimization model based on genetic
algorithms is developed to work with commercial finite element software. The
objective is to automate optimization of static criteria (stresses, weight, strength,
etc.) with finite element models. In the proposed model, the process acts on two
geometric aspects of the shape to be optimized: it controls the position of the
vertices defining the edges of the volume and, in order to minimize stresses
concentrations, it can add and define fillet between surfaces. The model is
validated from some benchmark tests. An industrial application is presented: the
genetic algorithms-finite element model is employed to design the fillets at the
crown-blade junctions of a hydroelectric turbine. The results show that the
model converges to a very efficient solution without any engineer intervention.
Keywords: genetic algorithms, shape optimization, finite element, hydroelectric
turbine.
1 Introduction
The design process of any mechanical part controls its global cost. A welldesigned
system will lead to money saving during the production phase and
better machine life. Incorporate an optimization cycle into the design process is
Keywords
genetic algorithms, shape optimization, finite element, hydroelectric
turbine.
Related Book
Other papers in this volume
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