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A Method for Predicting Multiphase Flow Using Mixed-Scale Multiphase Flow Model

A multiphase flow, scale technology, applied in special data processing applications, instruments, design optimization/simulation, etc., which can solve problems such as difficulty in describing phase distribution and difficulty in determining interphase interactions

Active Publication Date: 2020-01-14
NORTHEASTERN UNIV LIAONING
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  • Abstract
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  • Application Information

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Problems solved by technology

(2) It is difficult to describe the phase distribution
(3) It is difficult to determine the interaction between phases

Method used

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  • A Method for Predicting Multiphase Flow Using Mixed-Scale Multiphase Flow Model
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[0054]In order to better explain the present invention and facilitate understanding, the present invention will be described in detail below through specific embodiments in conjunction with the accompanying drawings.

[0055] All technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the technical field of the invention. The terms used herein in the description of the present invention are for the purpose of describing specific embodiments only, and are not intended to limit the present invention. As used herein, the term "and / or" includes any and all combinations of one or more of the associated listed items.

[0056] The method of the embodiment of the present invention solves the multi-scale multi-phase flow process including continuous layered interfaces such as gas-liquid and liquid-liquid phase interfaces, and discrete particles such as solid particles and discrete bubbles. For example, the multiphase flow pro...

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Abstract

The present invention provides a method for predicting multiphase flow using a mixed-scale multiphase flow model, which includes: S1. Determine the large-scale phase interface and small-scale phase interface in the mixed-scale multiphase flow according to the preset computational domain grid size. scale phase interface; S2. Obtain the physical parameters of each medium in the mixed-scale multiphase flow, the interface parameters composed of adjacent media, and the physical parameters of discrete particles; S3. Based on the physical parameters, interface parameters, and physical parameters, use pre-established The mixed-scale multiphase flow model predicts the mixed-scale multiphase flow, determines the physical process of the mixed-scale multiphase flow, and obtains flow field information; the mixed-scale multiphase flow model includes: a collection of phases occupied by discrete particles The rate continuous interface capturing algorithm, the random algorithm of discrete particles, and the interaction sub-model between the continuous fluid interface and discrete particles. The above method ensures that the interface does not diverge and makes the material properties on the interface have a step distribution as much as possible.

Description

technical field [0001] The multiphase flow prediction technology involved in the present invention, in particular, relates to a method for predicting multiphase flow by using a mixed-scale multiphase flow model. Background technique [0002] Multiscale multiphase flow processes widely exist in various industrial processes, such as energy and power, petrochemical, metallurgy, refrigeration, and aerospace. Usually, a multiphase flow system is always composed of several continuous media and several discontinuous media. A continuous medium can be called a continuous phase, while a discontinuous medium is called a discrete phase. Multiphase flow refers to the flow process composed of different kinds of continuous media or discontinuous media. In nature, daily life and various industrial processes, two-phase or multiphase flow problems exist widely, such as gas-liquid, liquid-liquid, gas-solid and liquid-solid multiphase flow systems. Among them, gas-liquid, gas-solid or gas-li...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F30/20G06F113/08G06F119/14
CPCG06F30/20G06F2119/06
Inventor 李宝宽李林敏刘中秋齐凤生王芳
Owner NORTHEASTERN UNIV LIAONING
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