The present study proposes a novel hybrid cellular structure consisting of unit cells with different geometrical designs to tailor Young's modulus and improve the energy absorption capability. An analytical model was developed to predict the mechanical properties of the baseline cellular structure. Using the particle swarm optimization (PSO) algorithm, the geometry of two unit cells is designed with the maximum (Type-2) and minimum (Type-1) stiffnesses compared to the baseline structure. These two unit cells were utilized to design the properties of the novel hybrid cellular structure for an optimized energy absorption capability. For evaluating Specific Energy Absorption (SEA) in the hybrid structure, the samples were 3D printed and subjected to compression testing. Finite Element Modeling (FEM) was also conducted for further study by assuming the elasto-plasto-damage properties. The results indicate that the novel hybrid structure shows a 90% improvement in SEA by reducing the weight by 70% compared to the Type-1 cellular structure. The EA of various polymers, including PLA, PA12, PP, PETG, ABS, TPU, and FLEX, were examined by utilizing the FEM as a virtual test method. Based on the results, SEA capacity in cellular structures can be increased by optimizing the topology and selecting the appropriate material containing high elastic modulus and failure strain.

中文翻译：

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新型混合多孔结构的机械性能和能量吸收评估

本研究提出了一种新型混合蜂窝结构，由具有不同几何设计的单元组成，以定制杨氏模量并提高能量吸收能力。开发了一个分析模型来预测基线细胞结构的机械性能。使用粒子群优化 (PSO) 算法，设计两个单元的几何形状，使其具有与基线结构相比的最大（类型 2）和最小（类型 1）刚度。这两个单元电池被用来设计新型混合蜂窝结构的特性，以优化能量吸收能力。为了评估混合结构中的比能吸收 (SEA)，对样品进行 3D 打印并进行压缩测试。还通过假设弹塑性损伤特性进行有限元建模 (FEM) 进行进一步研究。结果表明，与 Type-1 蜂窝结构相比，新型混合结构的重量减轻了 70%，SEA 提高了 90%。利用有限元法作为虚拟测试方法，对各种聚合物（包括 PLA、PA12、PP、PETG、ABS、TPU 和 FLEX）的 EA 进行了检查。根据结果​​，可以通过优化拓扑和选择含有高弹性模量和失效应变的适当材料来增加蜂窝结构中的SEA容量。