A probability model for predicting the transport efficiency in vertical pipes considering the particle size distribution

Improving transport efficiency is one of the core issues in the field of deep-sea mining. Slip velocities have strong effects on the transport efficiency of deep-sea mineral nodules in the hydraulic conveying process. The present work proposes a probability model for predicting the transport velocit...

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Veröffentlicht in:Powder technology 2023-02, Vol.415, p.118104, Article 118104
Hauptverfasser: Sun, Deping, Liu, Haixiao, Guo, Rui
Format: Artikel
Sprache:eng
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Zusammenfassung:Improving transport efficiency is one of the core issues in the field of deep-sea mining. Slip velocities have strong effects on the transport efficiency of deep-sea mineral nodules in the hydraulic conveying process. The present work proposes a probability model for predicting the transport velocity and efficiency, which can reflect the influence of different particle size distribution of large particles. By comparing with a numerical simulation, experimental data and empirical models, the proposed model is well verified and demonstrates advantages in accuracy. To acquire further knowledge of the optimal transport efficiency and the predominant factors, such as the volumetric concentration, the pipe diameter and the mixture velocity, effects of various parameters are explored in detail through the present model, including the medium particle diameter, the average dry solid production, the operating power, the particle density, and the fluid density. Furthermore, four general-purpose optimization algorithms, including the global search (GS), the MultiStart (MS), the pattern search (PS) and the genetic algorithm (GA), are combined to obtain the optimal transport efficiency and compared in an application study. The proposed model provides an efficient tool to fast optimize the transport efficiency of mineral nodules in hydraulic conveying pipes. [Display omitted] •Probability model to predict velocity considering particle size distribution•Complete procedure to obtain optimal efficiency and corresponding variables•Four general-purpose optimization algorithms compared for hydraulic conveying•Superior prediction accuracy validated by experimental data and empirical models•Efficient tool to fast optimize transport efficiency of conveying mineral nodules
ISSN:0032-5910
1873-328X
DOI:10.1016/j.powtec.2022.118104