UNDERSTANDING ROUGH-WALL FLOWS AND TURBULENT MIXING FOR IMPROVED MODELS
Grant number: LP180100712 | Funding period: 2019 - 2021
Completed
Abstract
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 dura..
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