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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Geng, J., Lu, Y., Yang, H., Dong, C.: The Design of Stereoscopic Warehouse Stacker’ Motion and Control System. Springer, Berlin Heidelberg (2011)
Sun, J., Li, J., Ou, D., Li, Y.: Simulation analysis of the stacker column based on high-speed & high-acceleration. In: International Conference on Manufacturing Science and Engineering (2011)
Chan, T.-C., Chang, K.-C., Chang, S.-L., Chiang, P.-H.: Simulation, modeling, and experimental verification of moving column precision grinding machine. J. Chin. Inst. Eng. 45, 54–64 (2022)
Venugopal, P.R., et al.: Structural investigation of steel-reinforced epoxy granite machine tool column by finite element analysis. Proc. Inst. Mech. Eng. Part J. Mater. Des. Appl. 233, 2267–2279 (2019)
Bo, W., Mengji, C., Jinfeng, W., Jixin, S., Zhengjie, L.: Fuzzy algorithm based bionic optimization design of boring machine column. Comput. Intell. Neurosci. 2022, 1–11 (2022). https://doi.org/10.1155/2022/5264781
Jiao, H.-Y., Li, F., Jiang, Z.-Y., Li, Y., Yu, Z.-P.: Periodic topology optimization of a stacker crane. IEEE Access 7, 186553–186562 (2019)
Zhao, L., Chen, W.Y., Ma, J.-F., Yang, Y.-B.: Structural bionic design and experimental verification of a machine tool column. J. Bionic Eng. 5(1), 46–52 (2008). https://doi.org/10.1016/S1672-6529(08)60071-2
Liu, S., Guo, Z., Chen, Z.: Finite-element analysis and structural optimization design study for cradle seat of CNC machine tool. J. Chin. Inst. Eng. 39, 345–352 (2016)
Choudhary, P.K., Mahato, P.K., Jana, P.: Cross-section optimization of thin-walled open-section composite column for maximizing its ultimate strength. Proc. Inst. Mech. Eng. Part J. Mater. Des. Appl. 236, 413–428 (2022)
Dong, Y., Yao, X., Xu, X.: Cross section shape optimization design of fabric rubber seal. Compos. Struct. 256, 113047 (2021)
Box, G.E.P., Wilson, K.B.: On the experimental attainment of optimum conditions. In: Kotz, S., Johnson, N.L. (eds.) Breakthroughs in Statistics: Methodology and Distribution, pp. 270–310. Springer New York, New York, NY (1992). https://doi.org/10.1007/978-1-4612-4380-9_23
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].
Author information
Authors and Affiliations
Corresponding authors
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
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
Download citation
DOI: https://doi.org/10.1007/978-981-99-6504-5_3
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-99-6503-8
Online ISBN: 978-981-99-6504-5
eBook Packages: Computer ScienceComputer Science (R0)