{"title":"将激光扫描 750 kW 涡轮机表面几何数据转化为平滑 CAD,用于 CFD 仿真","authors":"Louis Gagnon, Thorsten Lutz","doi":"10.1088/1742-6596/2767/4/042002","DOIUrl":null,"url":null,"abstract":"This paper presents a method for automatically reconstructing and smoothing surfaces from laser-scanned wind turbine blades. The aim is to accurately reconstruct turbine blade surfaces in the absence of an accurate CAD model. The input consists of a series of imperfectly aligned blade point clouds, and the output is a CFD surface mesh. The automatic process starts by segmenting the blade into as many sections as there are points in the spanwise direction of the target CFD mesh. Each segment is prepared for conversion into a periodic B-spline by undergoing angular sorting, application of the Iterative Closest Point algorithm, and light smoothing with the Savitzky-Golay filter. The final surface mesh consists of a series of B-spline airfoils with matching control points fitted on a series of spanwise nonperiodic splines. The smoothed airfoils closely match the noisy point cloud data across the entire blade. Three blades of a single turbine were scanned and meshed. The maximum distance between the blade tips of the three clouds is 2.5 cm (0.1% radius). Minor differences in airfoil profiles were observed, but they had negligible effects on lift and drag. Pitch torques were slightly more affected.","PeriodicalId":16821,"journal":{"name":"Journal of Physics: Conference Series","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Transforming Laser-Scanned 750 kW Turbine Surface Geometry Data into Smooth CAD for CFD Simulations\",\"authors\":\"Louis Gagnon, Thorsten Lutz\",\"doi\":\"10.1088/1742-6596/2767/4/042002\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a method for automatically reconstructing and smoothing surfaces from laser-scanned wind turbine blades. The aim is to accurately reconstruct turbine blade surfaces in the absence of an accurate CAD model. The input consists of a series of imperfectly aligned blade point clouds, and the output is a CFD surface mesh. The automatic process starts by segmenting the blade into as many sections as there are points in the spanwise direction of the target CFD mesh. Each segment is prepared for conversion into a periodic B-spline by undergoing angular sorting, application of the Iterative Closest Point algorithm, and light smoothing with the Savitzky-Golay filter. The final surface mesh consists of a series of B-spline airfoils with matching control points fitted on a series of spanwise nonperiodic splines. The smoothed airfoils closely match the noisy point cloud data across the entire blade. Three blades of a single turbine were scanned and meshed. The maximum distance between the blade tips of the three clouds is 2.5 cm (0.1% radius). Minor differences in airfoil profiles were observed, but they had negligible effects on lift and drag. Pitch torques were slightly more affected.\",\"PeriodicalId\":16821,\"journal\":{\"name\":\"Journal of Physics: Conference Series\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Physics: Conference Series\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1088/1742-6596/2767/4/042002\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Physics: Conference Series","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1088/1742-6596/2767/4/042002","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
本文介绍了一种自动重建和平滑激光扫描风力涡轮机叶片表面的方法。其目的是在没有精确 CAD 模型的情况下,准确重建风机叶片表面。输入包括一系列不完全对齐的叶片点云,输出为 CFD 表面网格。自动流程的第一步是将叶片分割成与目标 CFD 网格跨度方向上的点一样多的部分。通过角度排序、应用迭代最邻近点算法以及使用萨维茨基-戈莱滤波器进行轻度平滑,将每个分段转换为周期性 B 样条。最终的曲面网格由一系列 B 样条翼面和与之匹配的控制点组成,控制点安装在一系列跨向非周期性样条上。平滑后的翼面与整个叶片上的噪声点云数据非常吻合。对单个涡轮机的三个叶片进行了扫描和网格划分。三片云的叶尖之间的最大距离为 2.5 厘米(0.1% 半径)。观察到机翼轮廓存在细微差别,但对升力和阻力的影响可以忽略不计。俯仰扭矩受到的影响稍大。
Transforming Laser-Scanned 750 kW Turbine Surface Geometry Data into Smooth CAD for CFD Simulations
This paper presents a method for automatically reconstructing and smoothing surfaces from laser-scanned wind turbine blades. The aim is to accurately reconstruct turbine blade surfaces in the absence of an accurate CAD model. The input consists of a series of imperfectly aligned blade point clouds, and the output is a CFD surface mesh. The automatic process starts by segmenting the blade into as many sections as there are points in the spanwise direction of the target CFD mesh. Each segment is prepared for conversion into a periodic B-spline by undergoing angular sorting, application of the Iterative Closest Point algorithm, and light smoothing with the Savitzky-Golay filter. The final surface mesh consists of a series of B-spline airfoils with matching control points fitted on a series of spanwise nonperiodic splines. The smoothed airfoils closely match the noisy point cloud data across the entire blade. Three blades of a single turbine were scanned and meshed. The maximum distance between the blade tips of the three clouds is 2.5 cm (0.1% radius). Minor differences in airfoil profiles were observed, but they had negligible effects on lift and drag. Pitch torques were slightly more affected.