Abstract
Aiming at the problem of mass redundancy of stacker column in traditional empirical design, a lightweight design method of stacker column structure based on multi-parameter analysis and response surface methodology is proposed. Initially, an analysis is conducted on the stacker crane’s column structure to uncover its static and dynamic traits, indicating notable rigidity and excessive mass. A multi-parameter sensitivity analysis is conducted by extracting the cross-sectional size parameters of the column and selecting design variables based on the theory related to the moment of inertia. We use a central composite experimental design to generate sample data and create a response surface model. The goal is to optimize the sizing parameters of a column structure by minimizing its mass. The optimization process is bound by certain constraints: the maximum deflection at the top must fall within the permissible limit, and the material stress should not surpass its strength threshold. This method is applied to the lightweight design of a single-column stacker crane of a certain model, and results show that the optimized column weight reduction can reach 50.77%, indicating a significant lightweight effect. This study provides theoretical and technical support for the lightweight design and application of column structures.
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Acknowledgments
This work was supported by the Basic and Applied Basic Research Foundation of Guangdong Province [grant number 2020B1515120015]; the National Science Foundation of China [grant numbers 12272089, U1908217]; and the Fundamental Research Funds for the Central Universities of China [grant numbers N2224001-4, N2003013].
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Li, Y. et al. (2023). Lightweight Design Method of Stacker Column Structure Based on Multi-parameter Sensitivity Analysis. In: Yang, H., et al. Intelligent Robotics and Applications. ICIRA 2023. Lecture Notes in Computer Science(), vol 14275. Springer, Singapore. https://doi.org/10.1007/978-981-99-6504-5_3
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DOI: https://doi.org/10.1007/978-981-99-6504-5_3
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