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Reconstruction of Wind Turbine Blade Geometry and Internal Structure from Point Cloud Data

机译:从点云数据重建风力发电机叶片的几何形状和内部结构

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This paper presents a method for the digital reconstruction of the geometry of a wind turbine blade from a point-cloud model to polysurface model. The digital reconstruction of the blade geometry is needed to develop computer models that can be used by architects and engineers to design and analyze blade parts for reuse and recycling of decommissioned wind turbine blades. Initial studies of wind-blade geometry led to the creation of an airfoil database that stores the normalized coordinates of publicly-available airfoil profiles. A workflow was developed in which these airfoil profiles are best-fitted to targeted cross-sections of point-cloud representations of a blade. The method for best-fitting airfoil curves is optimized by minimizing the distance between points sampled on the curve and point-cloud cross section. To demonstrate the workflow, a digitally-created point-cloud model of a 100 m blade developed by Sandia National Laboratory was used to test the reconstruction routine.
机译:本文提出了一种从点云模型到多表面模型的数字化重建风力涡轮机叶片几何形状的方法。叶片几何形状的数字化重建是开发计算机模型所需要的,建筑师和工程师可以使用它们来设计和分析叶片零件,以便对退役的风力涡轮机叶片进行再利用和回收。对风叶几何形状的初步研究导致建立了机翼数据库,该数据库存储了公开提供的机翼轮廓的归一化坐标。开发了一种工作流程,其中这些翼型轮廓最适合叶片的点云表示形式的目标横截面。通过最小化曲线上采样点与点云横截面之间的距离,优化了最适合机翼曲线的方法。为了演示工作流程,使用了由桑迪亚国家实验室(Sandia National Laboratory)开发的100 m叶片的数字创建的点云模型来测试重建程序。

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