Using entropy balance to determine multiphase flow distribution in thermally decoupled parallel channels with shared inlet and outlet headers

Toochukwu Aka, Shankar Narayan
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Abstract

Multiphase flow with boiling in parallel channels is often an efficient approach to managing heat and energy distribution in several engineering systems. However, two-phase flow with heating in parallel channels is prone to maldistribution, which can result in sub-optimal performance and, in some cases, permanent damage to the system. This challenge requires accurate flow modeling in parallel channels to mitigate or design against the adverse effect of two-phase flow maldistribution. The nonlinear nature of the multiphase flow model can yield multiple solutions for the same operating condition, creating significant challenges in predicting flow distribution. This study addresses this challenge by applying the entropy balance analysis and the conservation of mass, momentum, and energy to predict two-phase flow distribution in two thermally isolated parallel channels with a numerical model. Our model predictions and experiments show that equally distributed flow can become severely maldistributed with a decrease in flow rate, accompanied by a significant (>30%) change in the entropy generation rate. We show that the entropy balance analysis can distinguish between stable and unstable flows and identify the most feasible flow distribution in thermally decoupled parallel channels.
利用熵平衡确定带有共用入口和出口集流管的热解耦平行通道中的多相流分布
在多个工程系统中,在并行通道中沸腾的多相流通常是管理热量和能量分配的有效方法。然而,在平行通道中加热的两相流很容易出现分布不均的情况,这可能会导致系统性能达不到最佳状态,在某些情况下甚至会对系统造成永久性损坏。要应对这一挑战,就必须对平行通道中的流动进行精确建模,以减轻或设计两相流分布失调的不利影响。多相流模型的非线性特性会对同一运行条件产生多个解决方案,从而给预测流量分布带来巨大挑战。本研究通过应用熵平衡分析以及质量、动量和能量守恒,利用数值模型预测两个热隔离平行通道中的两相流分布,从而解决了这一难题。我们的模型预测和实验表明,随着流速的降低,平均分布的流动会变得严重分布不均,同时熵产生率也会发生显著变化(大于 30%)。我们的研究表明,熵平衡分析可以区分稳定流和不稳定流,并确定热解耦平行通道中最可行的流量分布。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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