Physics-informed data-driven models to characterise the effect of surface defects on flow boiling phenomena

基于物理的数据驱动模型，用于表征表面缺陷对流动沸腾现象的影响

• 批准号: 2747077
• 金额: --
• 依托单位: University of Manchester
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2747077
• 关键词: Physics; informed; data; driven; models

In this project, you will pioneer the next generation of models of boiling, and apply Computational Fluid Dynamics (CFD) simulation to develop data-driven analyses of boiling in nuclear reactors.Understanding the boiling process is crucial for the design and operation of water-cooled nuclear reactors, which rely on boiling to achieve high surface heat fluxes required for their operation. Modern, fundamental CFD techniques allow us to predict the behaviour of liquid-vapour interfaces ("Interface Capturing") and to simulate directly boiling phenomena at a solid surface.

在本项目中，您将开创下一代沸腾模型，并应用计算流体动力学(CFD)模拟来开发核反应堆中沸腾的数据驱动分析。了解沸腾过程对于水冷核反应堆的设计和运行至关重要，水冷核反应堆依靠沸腾来获得运行所需的高表面热流。现代的基本CFD技术使我们能够预测液体-蒸汽界面的行为(“界面捕捉”)，并直接模拟固体表面的沸腾现象。