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Erschienen in:
2006 | OriginalPaper | Buchkapitel
Parallel evolutionary optimization of heat radiators by using MSC MARC/MENTAT software
verfasst von : Adam Dlugosz
Erschienen in: III European Conference on Computational Mechanics
Verlag: Springer Netherlands
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The paper deals with the application of parallel evolutionary algorithms [
1
] (PEA) and the finite element method [
3
] (FEM) in shape optimization of heat radiators. The fitness function is computed by means of the thermoelsticity problem modeled by MSC MARC/MENTAT software. In order to create mesh, boundary conditions and material properties of the model a preprocessor MENTAT is used. Internal script language implemented in MENTAT allows avoiding external mesher procedure. Another benefit of this approach is that MENTAT takes into account shadowing effect in radiation [
2
]. Figure 1a shows the main steps of evaluation of the fitness function. The aim of the optimization is to find the optimal shape of the heat radiator shown in Figure 1b. This problem is solved by the minimization of the different types of functionals.
Figure 1.
a)Evaluation of the fitness function b) The geometry of the heat radiator
In order to reduce the number of design parameters in evolutionary algorithms the shape of the structure is modeled by Bezier curves. Numerical examples for some shape optimization are included.