1.State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130022, China;
2.Key Laboratory of Bionic Engineering, Ministry of Education, Jilin University, Changchun 130022, China;
3.Agriculture College, Yanbian University, Yanji 133002, China;
4.School of Mechanical and Vehicle, Beijing Institute of Technology, Beijing 100081, China
Abstract:Honeycomb structure has great application potential in vehicle collision, satellite landing, military equipment and other energy-absorbing structure design and multi-functional optimization due to its excellent design ability, shear modulus, fracture toughness, impact resistance and energy absorption. Based on the common reentrant honeycomb structure, bionic optimization design was carried out using the structure of bionics principle, has established two kinds of 3D negative poisson’s ratio of bearing structure, as well as two structures corresponding finite element model (3D reentrant honeycomb structure and 3D imitation of peanut shell structure), and by using finite element analysis software ls-dyna numerical simulation analysis. NiTi shape memory alloy, which has unique shape recovery behavior, low stiffness, high strength and hyperelasticity, was used as the base material to prepare samples. The samples prepared by Selective laser melting technology were subjected to quasi-static compression tests. By comparing the test results with the numerical simulation results, it is concluded that the two structures have good application prospects in energy absorption and shock absorption. Among them, the 3D imitation peanut shell bearing structure has better energy absorption and bearing characteristics. After 5 times of 13% cyclic compression experiments, the two structures can achieve a shape recovery efficiency of more than 99% after heating in a water bath, which provides a reference for the design of a buffer structure with self-recovery function in the future.
Key words: Engineering Bionics; Bionic structure design; Additive manufacturing; Negative Poisson's ratio; Quasi static compression; The numerical simulation
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