Two-phase flow numerical model development based on experimental characterization.

基于实验表征的两相流数值模型开发。

• 批准号: RGPIN-2020-06629
• 负责人: Beguin, Cedric
• 金额: $ 2.7万
• 依托单位: École Polytechnique de Montréal
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2020
• 资助国家: 加拿大
• 起止时间: 2020-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=717832
• 关键词: Two; phase; flow; numerical; model

Two-phase flow numerical model development based on experimental characterization The proposed research program is built to design innovative experiments and develop a theoretical framework for two-phase flows. For industrial applications, the Navier-Stokes equations governing the flows are averaged. This averaging process produces a loss of information on small-scale phenomena. Consequently, modeling these phenomena is required to adequately close numerical models. Our constant concern will be to create experiments to understand and model these small-scale phenomena as the guideline of my research objectives. New developed models will then be implemented in numerical codes based on the averaged Navier-Stokes equations and validated by comparison with large-scale phenomenon experiments. This specific philosophy creates a synergy between numerical and experimental approaches often conducted separately. Three specific objectives support this research vision: a) Model two-phase flow-structure interactions: A first project will study the bubble formation occuring during resin injection for composite manufacturing due to the double scale of the fibre structure. A second project will study the two-phase boundary layer characteristics. Formulating a law of the wall from empirical correlations for two-phase flows would allow numerical predictions at a reasonable cost for complex geometries such as those encountered in the industry and of much better quality than current predictions. b) Determine Particle-particle interactions: A first project will study the phenomenon of coalescence between bubbles inside a two-phase flow, by observing a few bubbles coalescing. The coalescence is part of the balance that governs the bubble sizes and therefore ultimately their trajectories. A second project will measure the turbulence induced by bubbles thanks to innovative technical measurement tools. c) Construct correlation for forces on submerged particles: A first project will numerically assess a bubble rising close to a wall. A second project will study the lift forces of a few particles. If correlations of the force coefficient for isolated particles are relatively well known, their corresponding correlation still requires improvements. A cloud of bubbles placed between a moving bell and a fixed wall will be monitored. A third project will study the drag of a bubble by observing the wake of a rising bubble thanks to 3D PIV. Thus, the research we propose will focus on fundamental experiments to construct an accurate and consistent formulation for dispersed flow simulations. This innovative research will lead to the development of better computational models to shed insight into a variety of two-phase flow problems that affect the welfare of the Canadian population and the competitiveness of the Canadian industry. The lack of reliable two-phase flow numerical procedures prevents breakthrough on the numerous industrial processes using two-phase flow.

基于实验表征的两相流数值模型开发 拟议的研究计划旨在设计创新的实验并为两相流提供一个理论框架。对于工业应用，平均管理有关流量的Navier-Stokes方程。这种平均过程会导致有关小规模现象的信息损失。因此，需要对这些现象进行建模才能充分关闭数值模型。我们不断关注的是创建实验，以理解和建模这些小规模现象作为我的研究目标的指南。然后，新开发的模型将基于平均的Navier-Stokes方程中的数值代码实现，并通过与大规模现象实验进行验证。这种特定的哲学在数值和实验方法之间通常分别进行了协同作用。三个特定目标支持这一研究愿景： a）模型两相流结构相互作用： 一个第一个项目将研究由于纤维结构的双重尺度，在树脂注入过程中，在树脂注入过程中发生的气泡形成。 第二个项目将研究两相边界层特征。从两相流的经验相关性制定墙的法律将允许数值预测，以合理的成本对复杂的几何形状（例如行业中遇到的几何形状），并且质量比当前的预测更好。 b）确定粒子粒子相互作用： 第一个项目将通过观察几个气泡聚集来研究两相流中气泡之间的聚合现象。合并是控制气泡大小的平衡的一部分，因此最终是其轨迹。 通过创新的技术测量工具，第二个项目将衡量气泡引起的湍流。 c）在淹没颗粒上的力的构建相关： 第一个项目将在数字上评估靠近墙壁的气泡。 第二个项目将研究一些颗粒的升力力。如果孤立粒子的力系数的相关性相对众所周知，则其相应的相关性仍然需要改进。将监视放置在移动的铃铛和固定墙之间的气泡云。 第三个项目将通过观察3D PIV的泡沫来研究泡沫的阻力。 因此，我们提出的研究将集中在基本实验上，以构建用于分散流量模拟的准确和一致的配方。这项创新的研究将导致发展更好的计算模型，从而深入了解影响加拿大人口福利和加拿大行业竞争力的各种两相流动问题。缺乏可靠的两相流数值可以阻止使用两相流对众多工业过程的突破。