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An analytical study of composite laminate lay-up using search algorithms for maximization of flexural stiffness and minimization of springback angle

机译:使用搜索算法进行复合层压板叠层的分析研究,以最大化弯曲刚度和最小化回弹角度

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The residual stresses arising in fiber-reinforced laminates during their curing in closed molds lead to changes in the composites after their removal from the molds and cooling. One of these dimensional changes of angle sections is called springback. The parameters such as lay-up, stacking sequence, material system, cure temperature, thickness etc play important role in it. In present work, it is attempted to optimize lay-up and stacking sequence for maximization of flexural stiffness and minimization of springback angle. The search algorithms are employed to obtain best sequence through repair strategy such as swap. A new search algorithm, termed as lay-up search algorithm (LSA) is also proposed, which is an extension of permutation search algorithm (PSA). The efficacy of PSA and LSA is tested on the laminates with a range of lay-ups. A computer code is developed on MATLAB implementing the above schemes. Also, the strategies for multi objective optimization using search algorithms are suggested and tested.
机译:在其在封闭模具的固化过程中纤维增强层压板中产生的残余应力导致它们从模具和冷却中移除后的复合材料的变化。角度部分的这些尺寸变化之一被称为回弹。铺设,堆叠序列,材料系统,固化温度,厚度等的参数在其中发挥着重要作用。在目前的工作中,试图优化叠层和堆叠序列,以最大化弯曲刚度和最小化回弹角度。使用搜索算法用于通过诸如交换的修复策略来获得最佳序列。还提出了一种称为叠层搜索算法(LSA)的新搜索算法,其是置换搜索算法(PSA)的扩展。 PSA和LSA的功效在具有一系列铺设的层压板上进行测试。在MATLAB上开发了一种计算机代码,实现上述方案。此外,建议并测试了使用搜索算法进行多目标优化的策略。

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