Development of a Material Mixing Method for Topology Optimization of a Structure with Multiple Thermal Criteria

Seok Young Han; M.S. Kim; S.H. Choi; J.Y. Park; Byung Ju Yi

doi:10.4028/www.scientific.net/KEM.353-358.2832

Paper Titles

Square-Structure Estimation of Bolt Fastening Conditions with Using PZT Patches
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Structural Analysis of Boom System in 42m Aerial Platform Truck
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Mechanical Behaviors of a Power Steering Hose Assembly during the Swaging Process
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Codes and Practice of Fatigue Design for Welded Structure
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Development of a Material Mixing Method for Topology Optimization of a Structure with Multiple Thermal Criteria
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Optimum Design of a Dynamic Micro-Mixer for Multiphase Flow
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Optimum Design of a Planar Micromanipulator Using Displacement Amplifier
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Axiomatic Design of a Spatial Micromanipulator and Experimental Verification
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Topology Optimization of the Inner Reinforcement for a Vehicle’s Hood Using Smoothing Scheme
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HomeKey Engineering MaterialsKey Engineering Materials Vols. 353-358Development of a Material Mixing Method for...

Development of a Material Mixing Method for Topology Optimization of a Structure with Multiple Thermal Criteria

Abstract:

A material mixing method to obtain an optimal topology for a structure in a thermal environment was suggested. This method is based on Evolutionary Structural Optimization (ESO). The proposed material mixing method extends the ESO method to a mixing several materials for a structure in the multicriteria optimization of thermal flux and thermal stress. To do this, the multiobjective optimization technique was implemented. The overall efficiency of material usage was measured in terms of the combination of thermal stress levels and heat flux densities by using a combination strategy with weighting factors. Optimal topologies having multiple thermal criteria for a printed circuit board (PCB) substrate were presented to illustrate validity of the suggested material mixing method. It was found that the suggested method works very well for the multicriteria topology optimization.