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Development of efficient Smoothed Particle Hydrodynamics (SPH) for contained flows in motor-sport applications

为赛车运动应用中的封闭流开发高效的平滑粒子流体动力学 (SPH)

基本信息

批准号：
2332721
负责人：
金额：
--
依托单位：
University of Manchester
依托单位国家：
英国
项目类别：
Studentship
财政年份：
2019
资助国家：
英国
起止时间：
2019 至无数据
项目状态：
已结题

来源：
https://gtr.ukri.org/projects?ref=studentship-2332721
关键词：
Development efficient Smoothed Particle Hydrodynamics

项目摘要

The design and performance of motorsport vehicles relies on key components including the gear box and fuel tank. Achieving optimum power transfer and maintaining engine fuel supply is a very challenging task where the flows occur in extremely complex geometries under rapidly-varying imposed forces and involve gear wheels rotating at many 1000s revolutions per minute generating heat. The accelerations during certain conditions, can be up to five times gravity, are beyond experimental rigs, making computer simulation the only design option. Conventional computational fluid dynamics (CFD) is not well suited to simulate the violent hydrodynamics occurring in the engine such as in the gear box due to the complex and generally highly distorted, surface motion. However, few simulation methods can capture the full physics. This PhD will use Smoothed Particle Hydrodynamics (SPH). SPH has no computational mesh and is revolutionising engineering simulation being ideal for potentially violent free-surface hydrodynamics where there is strong nonlinearity with highly complex moving geometries. The aim is to develop an efficient SPH model using new ideas for variable resolution with particle splitting & merging. The simulations will be accelerated on graphics processing units (GPUs) as part of our open-source DualSPHysics code.

赛车的设计和性能取决于关键部件，包括变速箱和油箱。实现最佳动力传递和保持发动机燃料供应是一项非常具有挑战性的任务，其中在快速变化的施加力下，流动发生在极其复杂的几何形状中，并且涉及以每分钟数千转的速度旋转的齿轮，从而产生热量。在某些条件下，加速度可高达重力的五倍，超出了实验装置，使计算机模拟成为唯一的设计选择。传统的计算流体动力学（CFD）不太适合模拟发动机中发生的剧烈流体动力学，例如由于复杂且通常高度扭曲的表面运动而发生在齿轮箱中的剧烈流体动力学。然而，很少有模拟方法可以捕捉到完整的物理过程。这个博士将使用光滑粒子流体动力学（SPH）。SPH没有计算网格，是革命性的工程模拟，是潜在的暴力自由表面流体动力学的理想选择，其中有高度复杂的移动几何形状的强非线性。其目的是开发一个有效的SPH模型，使用新的想法与粒子分裂和合并的可变分辨率。模拟将在图形处理单元（GPU）上加速，作为我们开源DualSPHysics代码的一部分。