The demands for a high-performance prosthesis include high strength and low weight. This study addresses the optimization of a new tube concept, made of composite material, which makes use of an isogrid and internal layer. For the methodological procedure, a response surface methodology (RSM) was used to define in what quantity, under what conditions and which data should be collected during a given experiment, seeking to satisfy the highest statistical precision and the lowest cost in the response. After RSM analysis, the finite element method was used for structural calculations for each condition of the experiment. The numerical results allowed the creation of a meta-model capable of translating the global structural behaviour. Thus, it was possible to optimize the parameters that were translated as responses applied to a lattice structure by particle swarm optimization and the Lichtenberg algorithm (LA). Comparison of the results demonstrated the good performance of the LA.

对高性能假肢的要求包括高强度和低重量。这项研究解决了由复合材料制成的新管概念的优化，该概念利用了等网格和内层。对于方法程序，使用响应面方法 (RSM) 来定义在给定实验期间应收集的数量、条件和数据，力求满足最高的统计精度和最低的响应成本。经RSM分析后，采用有限元法对试验各工况进行结构计算。数值结果允许创建能够转换全局结构行为的元模型。因此，可以通过粒子群优化和 Lichtenberg 算法 (LA) 优化转换为应用于晶格结构的响应的参数。结果的比较证明了 LA 的良好性能。