journal article·2023-09-01Open access

An efficient two-phase flow calculation method based on grid mergence and dimension transformation

Bozi Zhang, Shenshen Cheng, Ruyi Tao, Kun Jiang

AIP Advances· Volume 13· Issue 9

Abstract

Two-phase flow numerical methods are applied in internal ballistics widely, which has made higher fidelity analysis with minimal cost become an urgent demand. Current methods are based on independent dimension, and there is no definite conversion criterion and data transmission method, which have limited the application of efficient hybrid models applied to calculation. In this paper, we propose a hybrid method by linking a two dimensional (2D) model to a one dimensional (1D) model for two-phase flow. First, 1D and 2D two-phase flow models are established according to the flow field states in different phases. Next, the criterion of conversion between the two models is established, which is a quantitative index to judge the degree of radial effect and axial effect. Finally, dimension transformation in the radial direction and grid mergence in the axial direction are conducted to complete the whole computing model. The simulation results show that the hybrid method is more efficient in the interior ballistic process and maintains the level of trust in classical codes. Compared with the 2D method, the hybrid method significantly improves the computational efficiency by 86.5%. By analyzing the state in the chamber, the accuracy of the conversion criterion is confirmed. This criterion can be used as the transformation criterion of the hybrid model to form the standard multi-dimensional calculation transformation criterion of interior ballistics and may be promising for the rapid simulation of two-phase flow in interior ballistics.
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Research context

OpenAlex topics: Computational Fluid Dynamics and Aerodynamics · Electromagnetic Launch and Propulsion Technology · Aerospace Engineering and Energy Systems

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

CSSC Systems Engineering Research Institute 1 , Beijing 100048, China

School of Energy and Power Engineering, Nanjing University of Science and Technology 2 , Nanjing 210094, China

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