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

研究目标 目前，DNS 的非稳态数值研究仍然依赖于时间平均量。这意味着，即使在今天，仍然从基本稳定的角度来看待非稳态流动，没有现有的框架可以切换到真正的非稳态视角。建立一个真正的非定常框架来表征流动是该项目的首要目标。接下来，开发的非定常框架将应用于径向叶轮以预测非定常损失，特别是来自叶尖和叶轮之间间隙的非定常损失。壁（尖端间隙）。这填补了两个知识空白：首先，目前已知减少径向叶轮中的叶尖间隙可以减少损失，但对于固定叶尖间隙（例如叶轮）如何减少损失仍然未知。如果最小尖端间隙受到制造限制的限制。其次，预测径流式叶轮性能的能力落后于轴流式压缩机。实现这一目标将为减少这种差异迈出一步。最后，从 DNS 数据和非定常框架出发，开发一个径向叶轮损失的降阶模型，该模型的速度足够快，可以在 3D 设计阶段使用。研究方法实现第一个目标，将在径向叶轮的级联版本（这是几何结构的简单版本）上执行 DNS，以测试不同的非定常框架。选择框架后，将通过执行 DNS 来实现第二个目标在完全运行条件下具有叶尖间隙的全径向叶轮几何形状。使用非定常框架，非定常流动行为可以与损失联系起来，从而可以预测径向叶轮的性能。实现第三个目标的方法可能涉及识别径向叶轮内的流动特征，该特征在损失中占主导地位，而其他特征则被排除在外。损失预测模型。新颖的工程/物理科学用于表征非定常和湍流的真正非定常框架开发具有固定叶尖间隙的径向叶轮的损失减少方法更高精度的径向叶轮性能预测