What question did this study set out to answer?

This research aims to develop a lightweight design approach for forklift truck booms that minimizes material consumption while maintaining performance.

April 27, 2026Transactions of FAMENAOpen Access

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

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Authors

ZFZhanpeng FangZhengzhou University of Light Industry LZLiukai ZhaoZhengzhou University of Light Industry YXYanqiu XiaoZhengzhou University of Light Industry

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Implication

Randomized trial optimizes the boom design for forklift trucks, indicating reduced material usage and improved performance.

Key Points

This research aims to develop a lightweight design approach for forklift truck booms that minimizes material consumption while maintaining performance.
Established a mechanical model of the boom's cross-section based on actual loading conditions.
Applied topology optimisation to identify optimal designs considering element size and volume fraction.
Utilized Multi-Objective Genetic Algorithm (MOGA) to solve the optimisation model and sample design variables with Optimal Space-Filling (OSF).
Achieved an 8.44% reduction in boom mass while enhancing torsional stiffness.
Optimised design effectively reduces material usage compared to conventional designs.

Cite This Study

Fang et al. (2026) studied this question.

synapsesocial.com/papers/69eefc23fede9185760d350e https://doi.org/10.21278/tof.502075425

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

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Key Points

Cite This Study

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

Discussion

Member takes

Implication

Key Points

Cite This Study

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