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This study considers multi-objective optimal design of the fiber reinforced symmetric-balanced laminated composites using genetic algorithms. MATLAB Genetic Algorithm and Direct Search Toolbox is used to obtain Pareto-optimal design for three different model problems. The objectives of the problems are to maximize the Young's moduli and minimize the coefficient of thermal expansion (CTE) simultaneously...
An array of accelerated temperature cycling (ATC) finite element (FE) simulations using ANSYStrade, and drop-impact finite element simulations using LS DYNAtrade, are used to find the optimum elastic modulus and coefficient of thermal expansion (CTE) for a stacked chip scale package. For the ATC simulations, Anand's constitutive model with properties for Sn96.5Ag3.0Cu0.5 (SAC305) and tin-lead eutectic...
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