Articles | Volume 14, issue 1
https://doi.org/10.5194/ms-14-47-2023
https://doi.org/10.5194/ms-14-47-2023
Research article
 | 
23 Feb 2023
Research article |  | 23 Feb 2023

Parameter optimization of a pure electric sweeper dust port by a backpropagation neural network combined with a whale algorithm

Jiabao Pan, Jin Ye, Hejin Ai, Jiamei Wang, and You Wan

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Subject: Mechanisms and Robotics | Techniques and Approaches: Optimization
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Cited articles

Bofu, W., Jinlai, M., and Jie, C.: Numerical study on particle removal performance of pickup head for a street vacuum sweeper, Powder. Technol., 200, 16–24, https://doi.org/10.1016/j.powtec.2010.02.001, 2010. 
Egrioglu, E., Yolcu, U., and Bas, E.: Median-Pi artificial neural network for forecasting, Neural. Comput. Appl., 31, 307–316, https://doi.org/10.1007/s00521-017-3002-z, 2019. 
Fayzullayevich, J. V., Tan, G. F., and Alex, F. J.: Numerical Study of Factors Affecting Particle Suction Efficiency of Pick-Up Head of a Regenerative Air Vacuum Sweeper, Processes, 10, 1252–1252, https://doi.org/10.3390/pr10071252, 2022. 
Fu, P., Liu, L., and Yang, W.: Study on Structure Optimization of Feed Conveying Pipeline in Gas-Solid Two-phase Flow, Surf. Technol. (Chongqing, China), 50, 303–310 + 319, https://doi.org/10.16490/j.cnki.issn.1001-3660.2021.12.029, 2021 (in Chinese). 
Guo, H., Fu, J., and Li, Z.: SVM parameters and feature selection were optimized based on improved whale algorithm, J. Jilin Univ., Eng. Technol. Ed., 1–22, https://doi.org/10.13229/j.cnki.jdxbgxb20211348, 2022 (in Chinese). 
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Short summary
Optimizing the structure of the dust extraction port is the key to effectively improving the operational performance of the sweeper. CFD methods are used to analyze the influence of parameters on the sweeping effect in combination with a gas–solid two-phase flow model. The data set is established with the help of orthogonal test methods, and a BP neural network is used to fit the structural parameters and evaluation indexes.