Genetik Algoritma Kullanılarak Boyutsal Kararlı Kompozit Malzemelerin Optimizasyonu

Boyutsal kararlı malzemelerin tasarımı, teleskop, uydu gibi uzay ve havacılık yapıları için önemli bir konudur. Bu bağlamda, tabakalı kompozit malzemeler uzay yapıları gerekliliklerini matematiksel optimizasyon metotlarının kullanımı ile karşılayabilir hale gelmektedir. Bu çalışmanın amacı, düşük ısıl genleşme katsayısı ve yüksek elastisite modülüne sahip boyutsal kararlı, simetrik-balans tabakalı kompozit plakaların optimum açı dizilimlerini elde etmektir. Bu proses tek ve çok amaçlı optimizasyon yaklaşımları ile Genetik Algoritma metodu kullanılarak gerçekleştirilmiştir. Kompozit plaka tasarım problemlerinde karbon ve E-glass epoksi malzemeler kullanılmıştır. Elde edilen sonuçlar geleneksel tasarımlar ([± 45]S, ([0/90]S ) ile kıyaslanmış ve optimum olanların ısıl genleşme katsayısının daha düşük ve aynı zamanda elastisite modülünün daha yüksek olduğu görülmüştür

Optimization of Dimensionally Stable Laminated Composites by Using Genetic Algorithms

Design of dimensionally stable materials is crucial for the aero-space structures such as space telescopes and satellites. Laminated composite materials can be suitably designed under the requirement for the space structures utilizing the mathematical optimization methods. The aim of the present study is to design the stacking sequence of the symmetric balance laminated composites having low coefficient of thermal expansion and high elastic modulus. In the optimization process single and multi-objective approaches have been achieved based on Genetic Algorithms. In the laminated composite design problems, carbon and E-glass fibers reinforced epoxy matrix are used. Obtained results have been compared with the conventional designs([± 45]S, ([0/90]S ) and it is shown that the optimum ones have lower coefficient of thermal expansion and higher elastic modulus, simultaneously

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