Generative Design for Buffer Layer Structures

Ding Zhou1; Zhengxiang Zhang1; Jiawei Huang1; Bingjian Liu2

10.1109/ICID60307.2023.10396816

2023-12

2023 4th International Conference on Intelligent Design (ICID 2023)

979-8-3503-4258-1

2023 4th International Conference on Intelligent Design（ICID）

14-20

2023-10-20

Xi'an, China

Discarded used tires, commonly referred to as ‘black pollution’, are a significant environmental issue. Airless tires have been considered as a potential solution, but their adoption is impeded by their stiff ride quality. This study leverages generative design methods to optimize the structure and form of the buffer layer in airless bicycle tires, striving to create a safe, durable, and high-performance tire with characteristics akin to those of pneumatic tires. The research delves into thousands of design possibilities using parametric model generation, finite element analysis, and genetic algorithms, with the aim of generating designs that fulfill all requirements effectively. The proposed method could significantly reduce waste and improve the cycling experience by offering a reliable alternative to conventional tires.

generative design parametric model genetic algorithm finite element simulation multi-objective optimization

第一 ; 通讯

英语

EI

20240715559326

Buffer layers ; Finite element method ; Multiobjective optimization ; Parameter estimation ; Structural design ; Tires

Structural Design, General:408.1 ; Rubber Products:818.5 ; Optimization Techniques:921.5 ; Numerical Methods:921.6 ; Crystalline Solids:933.1

人工提交

1.School of System Design and Intelligent Manufacturing, Southern University of Science and Technology
2.Department of Mechanical, Materials and Manufacturing Engineering, University of Nottingham Ningbo China

Ding Zhou,Zhengxiang Zhang,Jiawei Huang,et al. Generative Design for Buffer Layer Structures[C],2023:14-20.