复杂构型水滴收集率的拉格朗日计算方法

任靖豪; 易贤; 王强

doi:10.13224/j.cnki.jasp.2020.12.009

复杂构型水滴收集率的拉格朗日计算方法

doi: 10.13224/j.cnki.jasp.2020.12.009

任靖豪¹,
易贤^1,2,
王强^1,2

基金项目: 国家自然科学基金（11472296）; 四川省科技厅应用基础研究项目（2019YJ0271）

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- 被引次数: 0
出版历程
- 收稿日期: 2020-05-08
- 刊出日期: 2020-12-28

Lagrangian simulation method of droplet collection efficiency for complex configuration

1.
Low Speed Aerodynamics Institute,China Aerodynamics Research and Development Center,Mianyang Sichuan 621000,China
2.
State Key Laboratory of Aerodynamics,China Aerodynamics Research and Development Center,Mianyang Sichuan 621000,China

摘要

摘要: 为了完善拉格朗日法在求解三维复杂外形液滴收集率的过程中存在的普适性缺陷,发展了一种鲁棒且高效的三维收集率计算方法。该方法中采用基于非平面交叉判定的粒子定向查找算法,实现了多面体网格下的水滴快速定位功能。基于笛卡儿网格自适应和壁面网格投影技术,克服了复杂迎风面收集率计算的困难。对比传统求解方式,具有算法复杂度低、计算效率高的优势。同时,利用径向基函数插值技术,改进了三维壁面收集率的表征方法。通过典型算例测试,计算结果与实验值误差均在15%以内,且在同等计算精度的条件下,计算所需的水滴轨迹数大幅减小。验证了该方法具备较高的准确性和良好的鲁棒性,能够为飞机结冰机理研究以及防除冰系统设计提供参考。
- 液滴撞击特性 /
- 收集率 /
- 径向基函数(RBF) /
- 粒子追踪 /
- 拉格朗日法
Abstract: A robust and efficient algorithm was developed for calculating the droplet collection efficiency and overcoming the non-universal defect in the Lagrangian method. A point-locating scheme based on a non-plane intersection determination algorithm was used to achieve the fast localization of droplets in polyhedron mesh. Using mesh adaptive refine techniques and curve projection algorithm, the difficulty of calculating collection efficiency on complex configuration was avoided. This step effectively reduced the complexity of the algorithm. The analysis results discretely distributing in the spatial configuration was interpolated to the model surface by radial basis function. Some cases valuated the improved algorithm. The testing report showed that the deviation of the calculating results using the proposed method from the experimental data was not more than 15% and the necessary trajectories for calculation significantly decreased compared with the traditional model. It shows that the this method has high engineering practice value and popularization sense.
- droplet impact characteristics /
- collection efficiency /
- ,radial basis function(RBF) /
- particle tracking /
- Lagrange method

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