Research on mechanical structure optimization based on topology theory

Qingling Geng

doi:10.1117/12.3026662

1 April 2024 Research on mechanical structure optimization based on topology theory

Qingling Geng

Proceedings Volume 13082, Fourth International Conference on Mechanical Engineering, Intelligent Manufacturing, and Automation Technology (MEMAT 2023); 130821E (2024) https://doi.org/10.1117/12.3026662
Event: 2023 4th International Conference on Mechanical Engineering, Intelligent Manufacturing and Automation Technology (MEMAT 2023), 2023, Guilin, China

Abstract

At present, structural topology optimization in mechanical equipment with excellent performance by optimizing the arrangement and distribution of materials in the design domain, which has important significance in the initial stage of mechanical material design. However, most of existing research on mechanical structure optimization concentrates on planar or simple three-dimensional structures, and can only solve some topology optimization problems with simple initial structure, optimized design domain rules, and single optimization constraints. In this paper, we extract a real mechanical bracket topology information and optimize the topology structure by utilizing the variable density method. After optimizing the topology, we compare our results with existing optimization methods and estimate the performance of different materials. From our extensive experiments, we can conclude that our proposed method can achieve the optimization process for mechanical components and outperform existing methods with acceptable stress and reasonable weights.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Qingling Geng "Research on mechanical structure optimization based on topology theory", Proc. SPIE 13082, Fourth International Conference on Mechanical Engineering, Intelligent Manufacturing, and Automation Technology (MEMAT 2023), 130821E (1 April 2024); https://doi.org/10.1117/12.3026662

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