Conputational investigation into gear systems in transmissions systems

传动系统中齿轮系统的计算研究

• 批准号: 2593364
• 金额: --
• 依托单位: University of Nottingham
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2021
• 资助国家: 英国
• 起止时间: 2021 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2593364
• 关键词: Conputational; investigation; into; gear; systems

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.

该项目旨在模拟、理解和描述传输系统内部的流动，特别强调了解流动状态和传热。该项目将使用高保真CFD建模，以更好地了解这些高度复杂环境中的基本流动物理。流体的界面行为和与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。这些高保真度模拟的结果，结合现有的实验数据，将用于训练机器学习模型。这些模型将允许对参数的复杂依赖关系进行揭示和测试，并将结果应用于代表性系统。