WeChat Mini Program
Old Version Features

    • Effect of Particle Size on Vortex Structure and Erosion Behavior of Semi-Open Centrifugal Pump

    Kai Wang, Hanyu Liu,Like Wang,Pengcheng Guo,Yueshe Wang, Junfeng Yang

    Energy（2024）

    Xian Univ Technol

    Cited 5|Views2
    Abstract
    The erosion problem of semi-open centrifugal pump serving in silt-carrying fluids is serious, and the interaction between the particle migration and vortex evolution aggravates the complexity of erosion on the flow components. In the present paper, the liquid-solid two-phase flow of semi-open centrifugal pump under different particle sizes is simulated based on the four-way coupling Euler-Lagrangian method, in which the fluid-particle interaction and particle-particle interaction are taken into account. In particular, the influence of particle size on the structure characteristics of leakage vortex and erosion characteristics are investigated, and the interrelationship among vortex structure, particle migration and surface erosion behavior is revealed. The results show that the erosion area is mainly distributed in the blade leading edge, the pressure surface leading edge and the hub. When the particle size is 0.1 mm and 0.3 mm, due to the good following characteristic of particles and the inhibition effect on tip leakage vortex (TLV), the particles are easy to impact the trailing edge of blade suction surface and the hub, which induce severe erosion. As the particle size decreases, the number of particles flowing into the tip clearance increases. Therefore, the frequent impact of particles on the TLV leads to the breakup, separation and fusion of the vortex, which aggravates the flow instability. This paper provides a new insight into the hydraulic performance and erosion characteristics of semi-open centrifugal pump in terms of particle-vortex interaction.
    More
    Translated text
    Key words
    Semi-open centrifugal pump,Liquid-solid two-phase flow,Particle size,Erosion,TLV
    求助PDF
    上传PDF
    View via Publisher
    Bibtex
    收藏
    AI Read Science
    AI Summary
    AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.
    Example
    Background
    Key content
    Introduction
    Methods
    Results
    Related work
    Fund
    Key content
    • Pretraining has recently greatly promoted the development of natural language processing (NLP)
    • We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
    • We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
    • The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
    • Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance
    Upload PDF to Generate Summary
    Must-Reading Tree
    Example
    Generate MRT to find the research sequence of this paper
    Data Disclaimer
    The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn
    Chat Paper
    Summary is being generated by the instructions you defined