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Research on average vertical velocity of rubber particles in vertical screw conveyor based on bp neural network

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Abstract

Incorrect formula of average particle vertical velocity can lead to incorrect derivation of the formula of conveying quantity, thus leading to incorrect design of the vertical screw conveyor. In this paper, the vertical velocity of rubber particles in vertical screw conveyor is analyzed by discrete element simulation, and the vertical velocity distribution of particle flow in vertical screw conveyor with different scale structure is analyzed. In order to reduce the computational burden of the training sample and improve the accuracy of the neural network prediction, the BP neural network method is employed. Firstly, the univariate vertical velocity of different influencing factors in microscale structure is trained and predicted, and then the average vertical velocity involving two important input variables, spiral speed and pipe diameter, is trained to get the predicted values of the average vertical velocity of neural network. Finally, the experimental verification is carried out. In this paper, the BP neural network model of the average vertical velocity of rubber particles is established, which not only provides a method for the establishment of other particle neural network models, but also avoids the repeated use of discrete element simulation, and saves a lot of time.

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Acknowledgments

This research is supported by National Natural Science Foundation of China under Grant No. 52075356, Taiyuan University of Science and Technology Research Startup Fund Project and Shanxi Province Graduate Education Innovation Project (2021SY435).

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Authors and Affiliations

  1. School of Mechanical Engineering, Taiyuan University of Science and Technology, Taiyuan, 030024, China

    Sun Xiaoxia, Zhao Yang & Meng Wenjun

  2. Shanxi Institute of Energy, Taiyuan, 030699, China

    Meng Wenjun

  3. College of Agricultural Economics and Management, Shanxi Agricultural University, Taiyuan, 030801, China

    Zhai Yiying

Authors
  1. Sun Xiaoxia
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  2. Zhao Yang
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  3. Meng Wenjun
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  4. Zhai Yiying
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Corresponding authors

Correspondence to Sun Xiaoxia or Zhao Yang.

Additional information

Sun Xiaoxia received her Ph.D degree from the Department of Mechanical Engineering, Taiyuan University of Science and Technology. She is now a Professor at the Department of Mechanical Engineering, Taiyuan University of Science and Technology. Her research interests include continuous transport machinery, intelligent logistics equipment and gas-solid-liquid multiphase flow.

Zhao Yang is a Graduate Student at Taiyuan University of Science and Technology. His research interests include continuous conveying machi-nery and spiral ship unloading machinery.

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Xiaoxia, S., Yang, Z., Wenjun, M. et al. Research on average vertical velocity of rubber particles in vertical screw conveyor based on bp neural network. J Mech Sci Technol 35, 5107–5116 (2021). https://doi.org/10.1007/s12206-021-1027-9

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  • DOI: https://doi.org/10.1007/s12206-021-1027-9

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