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https://doi.org/10.21278/TOF.502075425

Lightweight Design of Forklift Truck Boom Cross-Section Based on Multi-Level Optimisation

Zhanpeng Fang ; Collaborative Innovation Center of Intelligent Tunnel Boring Machine, Zhengzhou University of Light Industry, Zhengzhou, 450002, China; Henan New Energy Vehicle Lightweight Design and Manufacturing Engineering Research Center, Zhengzhou University of Light Industry, Zhengzhou, 450002, China
Liukai Zhao ; Collaborative Innovation Center of Intelligent Tunnel Boring Machine, Zhengzhou University of Light Industry, Zhengzhou, 450002, China; Henan New Energy Vehicle Lightweight Design and Manufacturing Engineering Research Center, Zhengzhou University of Light Industry, Zhengzhou, 450002, China
Yanqiu Xiao ; Collaborative Innovation Center of Intelligent Tunnel Boring Machine, Zhengzhou University of Light Industry, Zhengzhou, 450002, China; Henan New Energy Vehicle Lightweight Design and Manufacturing Engineering Research Center, Zhengzhou University of Light Industry, Zhengzhou, 450002, China *
Jiaqi Qi ; Collaborative Innovation Center of Intelligent Tunnel Boring Machine, Zhengzhou University of Light Industry, Zhengzhou, 450002, China; Henan New Energy Vehicle Lightweight Design and Manufacturing Engineering Research Center, Zhengzhou University of Light Industry, Zhengzhou, 450002, China
Guangzhen Cui ; Collaborative Innovation Center of Intelligent Tunnel Boring Machine, Zhengzhou University of Light Industry, Zhengzhou, 450002, China; International Joint Laboratory for Intelligent Monitoring and Control of Complex Mechanical Equipment in Henan Province, Zhengzhou University of Light Industry, Zhengzhou, 450002, China
Lianhui Jia ; Collaborative Innovation Center of Intelligent Tunnel Boring Machine, Zhengzhou University of Light Industry, Zhengzhou, 450002, China; China Railway Engineering Equipment Group Co., Ltd, Zhengzhou, 450016, China
Wei Xiao ; Collaborative Innovation Center of Intelligent Tunnel Boring Machine, Zhengzhou University of Light Industry, Zhengzhou, 450002, China; China Railway Engineering Equipment Group Co., Ltd, Zhengzhou, 450016, China

* Dopisni autor.

Sažetak

To reduce the material consumption of the telescopic boom of forklift trucks, a multi-level optimisation lightweight design approach for the boom is proposed. Based on actual loading conditions, a mechanical model of the boom cross-section is established, and the design is optimised through topology optimisation. By analysing the impact of element size, volume fraction, and threshold values on the performance of the telescopic boom’s cross-section, the optimal topology of its configuration is obtained. The parametric model of the boom is reconstructed based on the topology optimisation result. With the minimisation of the boom mass as the objective, and both stress and deformation as constraints, the cross-sectional parameters of the boom are optimised. The design variables are sampled by the Optimal Space-Filling (OSF) design method, and the Kriging surrogate model is used to construct a high-precision model, thereby enhancing computational efficiency and ensuring accuracy. The Multi-Objective Genetic Algorithm (MOGA) is used to solve the optimisation model and identify the optimal solution. Upon validation, the optimised boom not only reduces the mass by 8.44%, but also improves its torsional stiffness, effectively reduces the material usage, and has important guiding significance for the lightweight design of telescopic booms.

Ključne riječi

telescopic boom forklift; topology optimisation; parameter optimisation; lightweight design; MOGA

Hrčak ID:

346503

URI

https://hrcak.srce.hr/346503

Datum izdavanja:

9.4.2026.

Posjeta: 158 *