全流型气-颗粒混合物中的非均质爆轰:数值模型、方法和验证

IF 3.4 2区 物理与天体物理 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Jiahui He , Baoqing Meng , Hongbin Li , Baolin Tian , Jianling Li
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引用次数: 0

摘要

在实际工程应用中,气体-可燃颗粒混合物中的非均质爆轰通常涉及不同的流动形式,包括稀、密、稀-稀过渡模式。本研究旨在建立一种适用于全流态气-颗粒系统非均质爆轰模拟的数值模型和方法。首先,基于更符合粒子动力学的欧拉-拉格朗日框架,建立了气-粒四向耦合和粒子-粒相互作用的气-粒爆轰数值模型。对于气相,控制方程是在连续欧拉网格上构建的,考虑了颗粒燃烧、体积分数和相间耦合的影响。分散的粒子相在拉格朗日坐标系中建模,云中粒子之间的碰撞通过粗粒度离散元素模型来解决。特别地,仔细考虑了颗粒燃烧引起的传质对相间动量和能量耦合的影响。然后,采用高阶重构格式的多相HLL/HLLC求解器对气体方程的喷嘴项和对流通量进行离散化。为了快速求解气体和粒子的温度(考虑相变潜热和实际热容),提出了一种基于牛顿迭代法的高效算法。为了保证在强不连续和密集颗粒流情况下两相相互作用模拟的保真度,提出了一种二阶精度的改进相间耦合策略。最后,进行了一系列数值验证和验证试验,包括关键子模型、相间耦合算法、惰性气-颗粒流动和不同流型的非均质爆轰。与理论解和实验数据的比较表明,所提出的数值模型和方法能够准确预测相间耦合、不同体积载荷粒子云的激波相互作用、稀非均质爆轰特征参数以及致密条件下两相爆轰演化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Heterogeneous detonation in gas-particle mixtures with full pattern flows: Numerical model, method, and verification
In practical engineering applications, heterogeneous detonation in gas-combustible particle mixtures often involves distinct flow regimes, including dilute, dense, dense-to-dilute transition patterns. This study aims to develop a numerical model and method suitable for heterogeneous detonation simulation of gas-particle systems with full pattern flows. First, based on the Eulerian-Lagrangian framework that is more consistent with particle dynamics, a numerical model for gas-particle detonation with four-way coupling of gas-particle and particle-particle interactions is established. For the gas phase, the governing equations are constructed on continuous Eulerian meshes, accounting for the effects of particle combustion, volume fraction, and interphase coupling. The dispersed particle phase is modeled in Lagrangian coordinates, with collisions among particles in the cloud resolved via a coarse-grained discrete element model. Particularly, the effect of mass transfer caused by particle combustion on the interphase momentum and energy coupling is carefully considered. Afterwards, a multiphase HLL/HLLC solver with high-order reconstruction scheme is employed to discretize the nozzling terms and convective fluxes of gas equations. To quickly solve for temperatures of the gas and particles (considering phase transition latent heat and realistic heat capacity), an efficient algorithm based on the Newtonian iterative method is proposed. To ensure the fidelity of two-phase interaction simulations in strong discontinuity and dense particle flow scenarios, an improved interphase coupling strategy with second-order accuracy is developed. Finally, a series of numerical verification and validation tests are conducted, covering key sub-models, interphase coupling algorithms, inert gas-particle flows and heterogeneous detonation across various flow patterns. Comparisons with theoretical solutions and experimental data demonstrate that the proposed numerical models and methods can accurately predict interphase coupling, shock interaction with particle clouds of different volume loadings, characteristic parameters of dilute heterogeneous detonation, and evolution of two-phase detonation in dense conditions.
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来源期刊
Computer Physics Communications
Computer Physics Communications 物理-计算机:跨学科应用
CiteScore
12.10
自引率
3.20%
发文量
287
审稿时长
5.3 months
期刊介绍: The focus of CPC is on contemporary computational methods and techniques and their implementation, the effectiveness of which will normally be evidenced by the author(s) within the context of a substantive problem in physics. Within this setting CPC publishes two types of paper. Computer Programs in Physics (CPiP) These papers describe significant computer programs to be archived in the CPC Program Library which is held in the Mendeley Data repository. The submitted software must be covered by an approved open source licence. Papers and associated computer programs that address a problem of contemporary interest in physics that cannot be solved by current software are particularly encouraged. Computational Physics Papers (CP) These are research papers in, but are not limited to, the following themes across computational physics and related disciplines. mathematical and numerical methods and algorithms; computational models including those associated with the design, control and analysis of experiments; and algebraic computation. Each will normally include software implementation and performance details. The software implementation should, ideally, be available via GitHub, Zenodo or an institutional repository.In addition, research papers on the impact of advanced computer architecture and special purpose computers on computing in the physical sciences and software topics related to, and of importance in, the physical sciences may be considered.
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