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Ply Design of Automotive Carbon Fiber Composite Floor Based on PSO-BFO Algorithm
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Haiyang Yang1, 2, Juan Ding1, 2, Kefang Cai3, 4, Junnian Wang3, Aicheng Hu5
Automobile Technology | 2024, (8) : 53 - 62
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Automobile Technology | 2024, (8): 53-62
Ply Design of Automotive Carbon Fiber Composite Floor Based on PSO-BFO Algorithm
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Haiyang Yang1, 2, Juan Ding1, 2, Kefang Cai3, 4, Junnian Wang3, Aicheng Hu5
Affiliations
  • 1 Jiaxing Nanhu University, Jiaxing 314001
  • 2 Jiaxing Key Laboratory of Intelligent Computation and Data Science, Jiaxing 314001
  • 3 State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130022
  • 4 Z-One Technology Co., Ltd., Shanghai 201800
  • 5 Daimler Greater China Ltd. Shanghai Branch, Shanghai 200080
Published: 2024-08-24 doi: 10.19620/j.cnki.1000-3703.20230915
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A method for optimizing the layout of carbon fiber composite floorings for BIW was proposed to enhance precision, efficiency, and structural lightweight. Initially, BIW finite element model was established and its efficiency was validated. Subsequently, material parameters for the carbon fiber composite were obtained through mechanical performance testing, followed by conceptual designing and modeling of the flooring layout. Subsequent utilization of continuous variable optimization determined the thickness, block shapes, and layers of the flooring, employing a discretization and rounding strategy to achieve discrete layer numbers for each layup angle. The optimization results show that the Particle Swarm Optimization-Bacteria Foraging Optimization (PSO-BFO) algorithm proposed herein improves flooring quality, static bending stiffness and BIW lightweight coefficient by 34.4%, 6.0% and 5.3%, respectively.

Composite floor  /  Composite ply design method  /  Particle Swarm Optimization- Bacteria Foraging Optimization (PSO-BFO) algorithm  /  Multi-objective optimization
Haiyang Yang, Juan Ding, Kefang Cai, Junnian Wang, Aicheng Hu. Ply Design of Automotive Carbon Fiber Composite Floor Based on PSO-BFO Algorithm[J]. Automobile Technology, 2024 , (8) : 53 -62 . DOI: 10.19620/j.cnki.1000-3703.20230915
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doi: 10.19620/j.cnki.1000-3703.20230915
  • Online Date：2025-12-22
  • Published：2024-08-24
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Affiliations
    1 Jiaxing Nanhu University, Jiaxing 314001
    2 Jiaxing Key Laboratory of Intelligent Computation and Data Science, Jiaxing 314001
    3 State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130022
    4 Z-One Technology Co., Ltd., Shanghai 201800
    5 Daimler Greater China Ltd. Shanghai Branch, Shanghai 200080
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https://castjournals.cast.org.cn/joweb/qcjs/EN/10.19620/j.cnki.1000-3703.20230915
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表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
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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