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Stochastic optimization of graphite-flax/epoxy hybrid laminated composite for maximum fundamental frequency and minimum cost

机译:石墨-亚麻/环氧树脂混合层压复合材料的随机优化,以实现最大基频和最低成本

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摘要

Ecological approach in automotive, aerospace and marine industries have stated that natural fibers (especially flax) can be used as alternative reinforcing materials to glass fibers because of their inherent good vibration and cost performances. In this regard, the present paper is an attempt to show the usage of flax fiber as an alternative to E-glass in interply hybrid composite structures in terms of fundamental frequency and cost. Stacking sequences design and optimization of laminated composites based on Differential Evolution (DE), Nelder Mead (NM) and Simulated Annealing (SA) algorithms are considered. The optimization problem is to find the number of high stiffness and less expensive laminates maximizing the fundamental frequency and minimizing the cost by multi objective optimization approach. The results show that the proposed optimum graphite-flax/epoxy interply composite structure give better than the result of graphite-glass/epoxy in terms of maximum fundamental frequency and minimum cost. It is also found that DE, NM and SA algorithms show comparable performance versus Mt Colony Optimization (ACO) for the same laminated structure design problems.
机译:汽车,航空航天和海洋工业中的生态方法表明,天然纤维(尤其是亚麻)可以用作玻璃纤维的替代增强材料,因为它们固有的良好振动和成本性能。在这方面,本论文试图显示在基本混合频率和成本方面,亚麻纤维在层间混合复合结构中作为电子玻璃的替代品的用途。考虑了基于差分演化(DE),Nelder Mead(NM)和模拟退火(SA)算法的层状复合材料的堆叠顺序设计和优化。优化问题是通过多目标优化方法来找到高刚度和较便宜的层压板,以最大化基频并最小化成本。结果表明,就最大基频和最小成本而言,所提出的最佳石墨-亚麻/环氧树脂间复合结构比石墨-玻璃/环氧树脂的结果更好。还发现,对于相同的叠层结构设计问题,DE,NM和SA算法显示出与Mt Colony Optimization(ACO)相当的性能。

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