Conputational investigation into gear systems in transmissions systems

该项目旨在模拟、理解和描述传动系统内部的流动，特别强调了解流动状态和热传递。该项目将使用高保真CFD建模，以更好地理解这些高度复杂的环境中的基本流动物理。流体的界面行为以及与当前湍流结构的相互作用，以及声音传递行为，将在各种日益复杂的场景中得到识别。这些高保真模拟的结果，结合现有的实验数据，将被用于训练机器学习模型。这些模型将允许揭示和测试对参数的复杂依赖关系，并将结果应用于典型系统。

This project aims to simulate, understand and characterise the flows inside transmissions systems, with particular emphasis on understanding flow regimes and heat transfer. The project will use high fidelity CFD modelling to gain an improved understanding of the fundamental flow physics in theses highly complex environments. The interfacial behaviour of fluids and the interaction with the turbulent structures present, along with hear transfer behaviours will be identified in a variety of increasingly complex scenarios. The result of these high fidelity simulations, combined with existing experimental data, will then be used to train machine learning models. These models will allow complex dependencies on parameters to be uncovered and tested, with the results applied to representative systems.