Multi-objective Optimization of a Composite Material Spring Design Using an Evolutionary Algorithm

  • Frédéric Ratle
  • Benoît Lecarpentier
  • Richard Labib
  • François Trochu
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3242)

Abstract

A multi-objective evolutionary algorithm is applied to optimize the design of a helical spring made out of a composite material. The criteria considered are the minimization of the mass along with the maximization of the stiffness of the spring. Considering the computation time required for finite element analyses, the optimization is performed using approximate relations between design parameters. Dual kriging interpolation allows improving the accuracy of the classical model of spring stiffness by estimating the error between the model and the results of finite element analyses. This error is taken into account by adding a correction function to the stiffness function. The NSGA-II algorithm is applied and shows satisfactory results, while using the correction function induces a displacement of the Pareto front.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Frédéric Ratle
    • 1
  • Benoît Lecarpentier
    • 1
  • Richard Labib
    • 2
  • François Trochu
    • 1
  1. 1.Centre de Recherche Appliquée Sur les Polymères, Département de Génie MécaniqueÉcole Polytechnique de MontréalMontréalCanada
  2. 2.Département de Mathématiques et de Génie IndustrielÉcole Polytechnique de MontréalMontréalCanada

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