Ansys CFX中预测自然对流固液相变的简化数值模型的验证

IF 2.1 Q2 ENGINEERING, MULTIDISCIPLINARY
N. Rosa, N. Soares, J. Costa, A. Lopes
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引用次数: 1

摘要

本文提出了一个模拟自然对流驱动下熔化和凝固的数值模型,并与以前的实验进行了验证。实验包括用RT28HC相变材料(PCM)填充矩形铝外壳至其容量的95%。为了研究相变过程中PCM的热行为,外壳经历了独立的加热和冷却程序。使用ANSYS CFX®进行模拟,并结合Boussinesq近似实施附加热源(AHS)方法,以考虑自然对流驱动的熔化和凝固过程中的潜热。这允许计算温度场、熔融分数和相变过程中的流体动力学。动量方程被修改为包括一个源项,该源项解释了当PCM从固体转变为液体时流体速度的逐渐降低。为了考虑密度变化,基于密度和比热的乘积在相变过程中保持不变的假设,实现了人工比热曲线。所提出的数值模型与实验数据吻合良好,充放电模拟过程中温度分布的平均均方根误差分别为2.6%和3.7%。该模型可以在ANSYS CFX®中轻松实现,并准确预测充电和放电动力学以及存储/释放的能量,而不会出现任何数值收敛问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Validation of a Simplified Numerical Model for Predicting Solid–Liquid Phase Change with Natural Convection in Ansys CFX
This paper presents a numerical model for simulating melting and solidification driven by natural convection, and validates it against a previous experiment. The experiment involved filling a rectangular aluminum enclosure with RT28HC Phase Change Material (PCM) to 95% of its capacity. To investigate the thermal behavior of the PCM during phase change, the enclosure underwent independent heating and cooling procedures. The simulation was conducted using ANSYS CFX®, and the additional heat source (AHS) method was implemented in conjunction with the Boussinesq approximation to account for the latent heat during melting and solidification driven by natural convection. This allowed the calculation of temperature fields, the melted fraction, and fluid dynamics during phase change. The momentum equations were modified to include a source term that accounted for a gradual decrease in fluid velocity as the PCM transitions from solid to liquid. To account for density variation, an artificial specific heat curve was implemented based on the assumption that the product of density and specific heat remains constant during phase change. The proposed numerical model achieved good agreement with the experimental data, with an average root mean square error of 2.6% and 3.7% for temperature profiles during charging and discharging simulations, respectively. This model can be easily implemented in ANSYS CFX® and accurately predicts charging and discharging kinetics, as well as stored/released energy, without any numerical convergence issues.
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来源期刊
Inventions
Inventions Engineering-Engineering (all)
CiteScore
4.80
自引率
11.80%
发文量
91
审稿时长
12 weeks
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