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1999 / Solid Freeform Fabrication Proceedings
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23 Application of Genetic Algorithms in the Design of Multi-Material Structures Manufactured in Rapid Prototyping

Author Oliver Keinig (a), Georges M. Ftidel (b), (a) ETH Zurich, (b) Clemson University

Source Solid Freeform Fabrication Proceedings, 1999, pp 209-218

Abstract Recent developments in the Rapid Prototyping technology establish it as a new manufacturing technique, enabling localized material addition to build a part. Thus, heterogeneous structures, consisting of more than one material can be produced. The aim of this paper is to present an optimization tool to find the best material distribution in a multi-material structure due to given objectives and constraints. The tool is based on genetic algorithms using a discrete material model and FE-analysis to evaluate the objective functions. It can optimize the distribution of different materials in 2D-structures with up to 1500 DOF's at reasonable computational costs. Its performance is shown on a bi-objective optimization of a turbine blade. Keywords: Injection Molding, Rapid Tooling, Ejection, Stereolithography, Decision-Based Design (Auth abstract) [References: 21]




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Solid Freeform Fabrication Proceedings can be obtained from:  The Solid Freeform Fabrication Symposium

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The University of Texas at Austin
Laboratory for Freeform Fabrication / Texas Materials Institute
Mechanical Engineering Dept.
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MC C2200
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