Understanding rough-wall flows and turbulent mixing for improved models

由于缺乏可靠的湍流传热预测能力，设计工程师目前被迫将安全裕度纳入他们的计算中，以补偿气动热负荷的不确定性，这最终限制了高效设计的机会。该项目采用高保真模拟和实验的现实世界的传热问题，由我们的合作伙伴组织确定，MHI，一个行业的领导者，结合了一个新的数据驱动的模型开发框架。结果将是我们对湍流传热的预测能力和理解的根本性进步，这反过来将允许更可靠，高效和耐用的能源生产设计。

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.