Understanding rough-wall flows and turbulent mixing for improved models

了解粗糙壁流和湍流混合以改进模型

• 批准号: LP180100712
• 负责人: Prof Richard Sandberg
• 金额: $ 30.62万
• 依托单位: The University of Melbourne
• 依托单位国家: 澳大利亚
• 项目类别: Linkage Projects
• 财政年份: 2019
• 资助国家: 澳大利亚
• 起止时间: 2019-06-12 至 2021-06-11
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/LP180100712
• 关键词: Understanding; rough; wall; flows; turbulent

In the absence of a reliable predictive capability for turbulent heat transfer, design engineers are currently forced to incorporate safety margins into their calculations to compensate for aero-thermal loading uncertainty, which ultimately limits the opportunities for high-efficiency designs. This project employs high-fidelity simulations and experiments of real-world heat transfer problems, as identified by our partner organisation, MHI, an industry leader, combined with a novel data-driven model development framework. Outcomes will be a fundamental advance in our predictive capability and understanding of turbulent heat transfer, which in turn will permit more reliable, efficient and durable designs for energy generation.

在没有可靠的湍流传热能力的情况下，设计工程师目前被迫将安全保证金纳入其计算中，以补偿空气热的不确定性，这最终限制了高效设计的机会。该项目采用了高保真模拟和现实世界传热问题的实验，正如我们的合作伙伴组织MHI（行业领导者MHI）所确定的，并结合了一个新颖的数据驱动模型开发框架。结果将是我们的预测能力和对湍流传热的理解的基本进步，这反过来又可以为能源发电提供更可靠，高效和耐用的设计。