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Journal of Bionic Engineering ›› 2023, Vol. 20 ›› Issue (5): 1942-1955.doi: 10.1007/s42235-023-00380-8

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Study of Impact Resistance Based on Porcupine Quills Bionic Thin-walled Structure

Tianshu Huang1,2; Zhengyu Mao2; Lijun Chang1,2; Xingyuan Huang1,2; Zhihua Cai1   

  1. 1 Hunan Provincial Key Laboratory of Health Maintenance for Mechanical Equipment, Hunan University of Science and Technology, Xiangtan, China  2 School of Mechanical Engineering, Hunan University of Science and Technology, Xiangtan, China
  • Online:2023-08-26 Published:2023-09-06
  • Contact: Zhihua Cai E-mail:caizhihua003@163.com
  • About author:Tianshu Huang1,2; Zhengyu Mao2; Lijun Chang1,2; Xingyuan Huang1,2; Zhihua Cai1

Abstract: Using an electron microscope to observe the microstructure of a porcupine quills cross-section and a bionic method, a new bionic structure was proposed. The performance of the structure in terms of energy absorption, maximum impact force withstood, and impact force efficiency was evaluated using Ansys finite element simulation software to simulate the structure's impact. To examine the impact of ribs on the structural performance of the bionic porcupine quills, a control structure was developed. According to the results of the finite element simulation, the presence of ribs in the Bionic porcupine quills structure can transfer stress uniformly to the overall structure and share stress for some of the rupture-prone regions. Ribs reduce stress concentration in specific areas and increase the impact force efficiency of the structure. The SEA and IFE values of bionic porcupine quills were 30.01 kJ/kg and 84.22%, respectively. The structure is then optimized for parameter design in order to find the optimal structure by response surface in order to improve the structure's SEA and decrease its MIF. In order to evaluate the precision of the response surface, the optimal structure predicted is validated using finite element simulation

Key words: Bionic structure design , · Thin-walled structure , · Impact resistance , · Specifc energy absorption , · Multi-objective optimization