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Optimal Design of Lightweight Composite Pressure Vessel by Using Artificial Immune Algorithm

机译:轻量级复合压力容器的人工免疫优化设计。

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This research aims to optimize the weight of composite overwrapped pressure vessel (COPV) under internal pressure. In the paper, a new design method based on the clonal selection principle in the biological immunology is proposed to solve the minimum weight problem under the burst pressure constraint. The method consists of three main parts: the non-geodesic path algorithm, variable stiffness analysis algorithm and artificial immune algorithm. A software called SimWind 1.0 was developed on the basis of this method in order to design the composite pressure vessel rapidly and efficiently. Finally, a representative carbon fiber composite pressure vessel with ultrathin Al liner was designed and fabricated by using this new design method and the software.
机译:这项研究旨在优化内部压力下的复合包裹压力容器(COPV)的重量。提出了一种基于克隆选择原理的生物免疫学新设计方法,以解决爆破压力约束下的最小重量问题。该方法包括三个主要部分:非大地路径算法,变刚度分析算法和人工免疫算法。在这种方法的基础上开发了一个名为SimWind 1.0的软件,以快速有效地设计复合压力容器。最后,使用这种新的设计方法和软件设计并制造了具有超薄Al衬里的代表性碳纤维复合压力容器。

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