Exploiting DNS in 3D Design

在 3D 设计中利用 DNS

• 批准号: 2777188
• 金额: --
• 依托单位: University of Cambridge
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2026
• 资助国家: 英国
• 起止时间: 2026 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2777188
• 关键词: Exploiting; DNS; 3D; Design

Research AimsCurrently, unsteady numerical studies with DNS still rely on time averaged quantities. This means that, even today, unsteady flows are still viewed from a fundamentally steady point of view with no existing framework to switch to a truly unsteady perspective. Establishing a truly unsteady framework with which to characterise flows is the first aim of this project.Following on from this, the unsteady framework developed will be applied to a radial impeller to predict the unsteady losses, especially from the gap between the blade tip and the wall (tip gap). This serves to fill two gaps in knowledge: firstly, it is currently known that reducing the tip gap in radial impellers reduces the loss, but it is still unknown how the loss can be reduced for a fixed tip gap e.g. if it minimum tip gap is limited by manufacturing constraints. Secondly, the ability to predict radial impeller performance lags behind that for axial compressors. Achieving this aim will provide a step forward in reducing this discrepancy.Finally, from the DNS data and unsteady framework, develop a reduced order model for radial impeller loss that is fast enough to be used in the 3D design stage.Research ApproachTo achieve the first aim, DNS will be performed on a cascade version of the radial impeller (this is a simpler version of the geometry) in order to test different unsteady frameworks.Once a framework has been selected, the second aim will be achieved by performing DNS of the full radial impeller geometry with tip gaps under full operating conditions. Using the unsteady framework, unsteady flow behaviour can be linked to loss which will allow prediction of radial impeller performance.Methodology for achieving the third aim will likely involve the identification of the flow features within a radial impeller which dominates loss, with others being stripped from the loss prediction model.Novel Engineering/Physical SciencesTruly unsteady framework for characterising unsteady and turbulent flowsDevelopment of loss reduction methods in radial impellers with a fixed tip gapHigher accuracy radial impeller performance prediction

研究目的是，具有DNS的不稳定数值研究仍然依赖时间平均数量。这意味着，即使在今天，仍然从根本稳定的角度看待不稳定的流动，而没有现有的框架可以切换到真正不稳定的观点。建立一个真正不稳定的框架来表征流量是该项目的第一个目的。从此开始，开发的不稳定框架将应用于径向叶轮，以预测不稳定的损失，尤其是从叶片尖端和墙壁之间的间隙（尖端缝隙）之间的缝隙。这有助于填补知识的两个差距：首先，目前已知减少径向叶轮中的尖端间隙减少损失，但是对于固定的尖端缝隙，如何减少损失，例如。如果最小尖端间隙受到制造限制的限制。其次，对于轴向压缩机，预测径向叶轮性能的能力滞后。实现这一目标将为减少这种差异提供一步。从DNS数据和不稳定的框架中，开发了一个减少径向叶轮损失的订单模型，该模型足够快，可以在3D设计阶段使用。研究方法可以实现第一个目标，以实现dns的速度（这是一个简单的版本）（这是一个简单的版本）（这是一个简单的版本）（是一个简单的版本） Frameworks.sce在选择了一个框架后，将通过在完整的操作条件下用尖端间隙执行完整的径向叶轮几何形状的DN来实现第二个目标。使用不稳定的框架，不稳定的流动行为可以与损失联系起来，这将允许预测径向叶轮的性能。实现第三个目标的方法学可能会涉及识别径向渗透器内的流动特征，该流程特征占主导地位的损失，而其他人则从损失模型中剥夺了损失模型。带有固定尖端的径向叶轮中的方法，使径向叶轮的精确度更高