上海交通大学学报

上海交通大学学报 >

2022 , Vol. 56 >Issue 5: 656 - 663

DOI: https://doi.org/10.16183/j.cnki.jsjtu.2020.437

船舶海洋与建筑工程

疏浚泵内泥沙颗粒的瞬态追踪数值方法

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  • 1.中交疏浚技术装备国家工程研究中心有限公司, 上海 201208
    2.上海交通大学 船舶海洋与建筑工程学院, 上海 200240
郭涛(1984-),男,山东省德州市人,博士,高级工程师,从事流体力学、多物理场耦合研究.

收稿日期: 2020-12-23

  网络出版日期: 2021-09-22

基金资助

交通运输部2018年度交通运输行业重点科技项目(2018-MS1-026)

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A Numerical Method for Transient Tracking of Sediment Particles in Dredge Pump

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  • 1. CCCC National Engineering Research Center of Dredging Technology and Equipment Co., Ltd.,Shanghai 201208, China
    2. School of Naval Architecture, Ocean and Civil Engineering,Shanghai Jiao Tong University, Shanghai 200240, China

Received date: 2020-12-23

  Online published: 2021-09-22

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摘要

为求解疏浚泵内沙粒的瞬态运动,以ANSYS Fluent的离散相模型为基础实现了一种修正算法.在稠密流动中以Lagrangian方法追踪沙粒时,引入用欧拉方法描述的粒-液两相求解得到的粒相体积分数以及Huilin-Gidaspow曳力模型,将先更新叶轮网格再求解沙粒运动的过程转变为叶轮网格与颗粒同步旋转后再求解颗粒相对运动的过程,以避免粒子在运动壁面上碰撞判定及反弹速度计算的错误.对比数值结果发现,改进算法能够在相近的计算时间下显著提高泵内颗粒运动的追踪精度.改进算法预测叶轮上的冲蚀磨损主要发生在叶片前缘偏上部位,冲蚀率峰值达7×10-5 kg/(m2∙s)以上,这与真实磨损的位置和程度相近,验证了修正算法的有效性.

关键词： 离散相模型; 轨迹追踪; 两相流; 疏浚泵

本文引用格式

郭涛, 刘明明, 曹蕾, 胡京招, 洪国军, 尤云祥 . 疏浚泵内泥沙颗粒的瞬态追踪数值方法[J]. 上海交通大学学报, 2022 , 56(5) : 656 -663 . DOI: 10.16183/j.cnki.jsjtu.2020.437

Abstract

In order to transiently solve the transient movement of sediment particles in dredge pumps, a modified algorithm is realized based on the discrete phase model in ANSYS Fluent. The granular phase volume fraction solved by using the Eulerian (granular)-Eulerian (liquid) two phases flow method and the Huilin-Gidaspow drag force laws are introduced for tracking particles with the Lagrangian method in dense flow. The solution process that solves particle motion after updating the impeller grid is changed to a process that solves particle relative motion after rotating synchronously the impeller grid with the particles. Under the situations of moving wall, the modified algorithm avoids the calculation error on collision identification and rebounded velocity of the particles. A comparison of numerical results shows that the modified algorithm can significantly improve the accuracy of particle motions in the dredge pump with similar time cost. The erosive wear predicted by the modified algorithm mainly appears on the front edges of the blades and the peak of erosion rate is about 7×10-5 kg/(m2∙s), which is similar to the actual situations, supporting the effectiveness of the modified algorithm.

Key words： discrete phase model; trajectories tracking; two phases flow; dredge pump

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