Construction method of sparse water-sediment interphase drag force model

By introducing a swirl factor into the Wen-Yu model and constructing a swirl correction function, the problem of particle force prediction deviation in the hydraulic mechanical swirl field was solved, achieving more accurate prediction of particle motion and concentration distribution, and improving the reliability of numerical simulation of water-sediment two-phase flow.

CN122113719APending Publication Date: 2026-05-29CHINA AGRI UNIV
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Patent Information

Application Number
CN202610045019.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-01-14
Publication Date
2026-05-29

AI Technical Summary

Technical Problem

The existing Wen-Yu traction model cannot accurately reflect the true force on particles in complex flow regions inside hydraulic machinery, especially in swirling fields, leading to particle trajectory deviation and concentration distribution distortion, which affects the reliability of wear prediction.

Method used

By introducing a swirl factor and constructing a swirl correction function using swirl experimental data and regression analysis, the drag coefficient of the Wen-Yu model is corrected, forming a new SCD model that can respond to the swirl characteristics of the flow field and improve prediction accuracy.

Benefits of technology

The prediction accuracy of particle motion trajectory and concentration distribution in the hydraulic mechanical swirling region is significantly improved, enhancing the reliability and engineering applicability of numerical simulation of water-sediment two-phase flow.

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Abstract

The invention relates to the field of water-sand two-phase flow numerical calculation, and provides a method for constructing a sparse water-sand interphase drag force model, which comprises the following steps: under a sparse water-sand interphase condition, obtaining particle drag force coefficients corresponding to different vorticity under a rotational flow condition to obtain rotational flow experimental data; obtaining a first expression of an inertia factor, and obtaining a second expression of a rotational flow factor through regression analysis according to the rotational flow experimental data; determining an initial expression of a rotational flow correction function based on the inertia factor, the rotational flow factor, the first expression and the second expression; correcting the initial expression to obtain a final expression of the rotational flow correction function; and obtaining a new drag force model (SCD model) considering rotational flow characteristics based on the final expression of the rotational flow correction function and the Wen-Yu model. According to the method, the rotational flow factor is introduced, so that the drag force model has the capability of responding to the flow field rotational flow characteristics, and the prediction accuracy and the engineering applicability in the typical rotational flow area of the hydraulic machinery are remarkably improved on the premise that the conventional working condition precision is not sacrificed.
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