Mechanical Sciences
Mechanical Sciences
Mechanical Sciences
Articles | Volume 14, issue 1
Articles | Volume 14, issue 1
https://doi.org/10.5194/ms-14-47-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/ms-14-47-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 14, issue 1
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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Latest update: 25 Apr 2024
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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.
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