论文标题

用于沸腾传热的伪电量晶格Boltzmann方法:网状细化程序

Pseudopotential Lattice Boltzmann Method for boiling heat transfer: a mesh refinement procedure

论文作者

Jaramillo, Alfredo, Mapelli, Vinícius Pessoa, Cabezas-Gómez, Luben

论文摘要

沸腾是一种复杂的现象,其中发生了不同的非线性物理相互作用,并且涉及的机制的定量建模尚未得到充分发展。在过去的几年中,已经发表了许多作品,重点是对该问题的数值分析。但是,缺乏数字作品来定量评估这些数值模拟对网格参数的敏感性,尤其是对于晶格鲍尔茨曼方法(LBM)。这项工作的主要目的是提出一种通过伪能力LBM模拟相变传热问题的网状细化方法。该方法是基于将物理参数与粘性状态下任意网格的晶格相关的(其中$Δt\ proptoΔx ^2 $)。 EOS参数的适当修改以及一定$ΔX$的热力学一致性和表面张力的调整是提出方法论的主要步骤。进行了首个简单模拟的合奏,包括液滴汽化和Stefan问题,以验证提出的方法并评估某些物理机制的影响。当晶格离散化精制时,使用空间和时间的全局规范来评估池沸腾模拟的密度和温度场的变化。据观察,所提出的方法为所有考虑的问题提供了收敛结果,并且收敛顺序取决于模拟现象的复杂性。

Boiling is a complex phenomenon where different non-linear physical interactions take place and for which the quantitative modeling of the mechanism involved is not fully developed yet. In the last years, many works have been published focusing on the numerical analysis of this problem. However, a lack of numerical works assessing quantitatively the sensitivity of these numerical simulations to grid parameters can be identified, especially for the Lattice Boltzmann method (LBM). The main goal of this work is to propose a mesh refinement methodology for simulating phase-change heat transfer problems by means of the pseudopotential LBM. This methodology was based on relating the physical parameters to their lattice counterparts for an arbitrary mesh under the viscous regime (where $Δt \propto Δx ^2$). A suitable modification of the EOS parameters and the adjusting of thermodynamic consistency and surface tension for a certain $Δx$ were the main steps of the proposed methodology. A first ensemble of simple simulations including the droplet vaporization and the Stefan problems was performed to validate the proposed method and to assess the influence of some physical mechanisms. Global norms in space and time were used to evaluate the variations of both the density and temperature fields for pool boiling simulations when the lattice discretization is refined. It was observed that the proposed methodology provides convergent results for all the problems considered, and the convergence orders depend on the complexity of the simulated phenomena.

扫码加入交流群

加入微信交流群

微信交流群二维码

扫码加入学术交流群,获取更多资源