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Research on the Crashworthiness of 3D Printing Gradient Random Honeycomb Sandwich Structure and Multi-objective Optimization Design
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Geng Luo, Chengpeng Chai, Zhaofei Zhu, Yisong Chen
Automotive Engineering | 2024, 46(11) : 2110 - 2121
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Automotive Engineering | 2024, 46(11): 2110-2121
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Research on the Crashworthiness of 3D Printing Gradient Random Honeycomb Sandwich Structure and Multi-objective Optimization Design
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Geng Luo, Chengpeng Chai, Zhaofei Zhu, Yisong Chen
Affiliations
  • School of Automobile,Chang’an University,Xi’an 710016
Published: 2024-11-25 doi: 10.19562/j.chinasae.qcgc.2024.11.017
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With excellent energy absorption properties of lightweight and high specific energy absorption,honeycomb material is widely used in various energy absorption protection structures. In this article,based on Voronoi diagrams and 3D printing technology,a novel gradient random honeycomb sandwich structure is designed and prepared. A finite element model of its three-point bending load is established and experimentally validated. Subsequently,based on the numerical model,crashworthiness research and multi-objective optimization design are conducted. The results show that for uniform random honeycomb sandwich structures,those with a lower degree of randomness have better energy absorption characteristics. Increasing the wall thickness increases the specific energy absorption but also leads to a larger load fluctuation coefficient due to the meso-structural deformation mode dominated by plastic hinges. When the relative density is consistent,the specific energy absorption of the random honeycomb sandwich structure with different cell size is not much different,and the decrease of cell size makes the deformation process more stable and reduces the bearing fluctuation coefficient. For cell size and cell wall thickness gradient random honeycomb sandwich structures,the introduction of a positive gradient of leads to a deformation mode dominated by both the support end and the loading end,which improves the energy absorption indicators. Based on the Non-dominated Sorting Genetic Algorthm-II (NSGA-II),a multi-objective optimization of the positive gradient random honeycomb sandwich structures is performed. The obtained meso-structural parameters with optimal energy absorption characteristics show a 33.9% increase in specific energy absorption compared to the uniformly random honeycomb sandwich structure without optimization design.

random honeycomb  /  sandwich structure  /  3D printing  /  energy absorption characteristics  /  multi-objective optimization
Geng Luo, Chengpeng Chai, Zhaofei Zhu, Yisong Chen. Research on the Crashworthiness of 3D Printing Gradient Random Honeycomb Sandwich Structure and Multi-objective Optimization Design[J]. Automotive Engineering, 2024 , 46 (11) : 2110 -2121 . DOI: 10.19562/j.chinasae.qcgc.2024.11.017
Year 2024 volume 46 Issue 11
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Article Info
doi: 10.19562/j.chinasae.qcgc.2024.11.017
  • Receive Date:2024-04-22
  • Online Date:2025-07-21
  • Published:2024-11-25
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History
  • Received:2024-04-22
  • Revised:2024-06-20
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    School of Automobile,Chang’an University,Xi’an 710016
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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