基于电子直线加速器工业CT的叶片点云提取
Point cloud extraction of blades based on electronic linear accelerator industrial CT
摘 要
针对航空发动机涡轮叶片复杂三维结构以及点云提取的无损检测需求，开发了一种用于大尺寸叶片无损检测的电子直线加速器工业CT成像装置，提出了一种将工业CT图像直接转换为三维点云模型的方法。该方法利用加速器CT扫描和三维重建软件，重构叶片的三维模型，选取不同的表面提取方式提取叶片的点云模型，并对点云模型进行了优化，最后与叶片的CAD模型进行自动最佳拟合对齐。结果表明，该方法很好地实现了叶片点云模型的提取，满足了实际生产的要求。
工业CT
叶片
点云提取
electronic linear accelerator
industrial CT
blade
point cloud extraction
Abstract
Aiming at the requirements for nondestructive testing of complex three-dimensional structure and point cloud extraction of aeroengine turbine blades,electronic linear accelerator Industrial CT imaging device for nondestructive testing of large-scale blades was developed. A method of directly converting industrial CT images into three-dimensional point cloud models was proposed. The three-dimensional model was reconstructed by accelerator CT scanning and three-dimensional reconstruction software. Different surface extraction methods were selected to extract the point cloud model of blades. The point cloud model was optimized and compared with CAD mode by automatic and optimal alignment. The results showed that this method of point cloud model extracted from blades was able to satisfy the actual production requirements.
中图分类号 TH789 TG115.28 DOI 10.11973/wsjc202210003
所属栏目 无损检测新技术发展与应用专题
基金项目
收稿日期 2022/5/17
修改稿日期
网络出版日期
作者单位点击查看
联系人作者周霖(3779412@qq.com)
备注邓阳全(1985-),男,硕士,工程师,主要研究方向为工业CT无损检测成像
引用该论文: DENG Yangquan,ZHOU Lin,LIU Yongtao,XU Zhou. Point cloud extraction of blades based on electronic linear accelerator industrial CT[J]. Nondestructive Testing, 2022, 44(10): 11～14
邓阳全,周霖,刘勇涛,许州. 基于电子直线加速器工业CT的叶片点云提取[J]. 无损检测, 2022, 44(10): 11～14
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参考文献
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【2】GRIMMERT A, WIEDERKEHR P.Macroscopic process simulation of surface and profile grinding processes estimating forces for the production of turbine blades[J].Procedia CIRP, 2021, 102:126-131.
【3】YERANEE K, RAO Y.A review of recent studies on rotating internal cooling for gas turbine blades[J].Chinese Journal of Aeronautics, 2021, 34(7):85-113.
【4】MADRID GARCIA J A, YAHAGHI E, MOVAFEGHI A.Improvement of the digital radiographic images of old paintings on wooden support through the anisotropic diffusion method[J].Journal of Cultural Heritage, 2021, 49:115-122.
【5】HE R J, ZHOU N P, ZHANG K Q, et al.Progress and challenges towards additive manufacturing of SiC ceramic[J].Journal of Advanced Ceramics, 2021, 10(4):637-674.
【6】LOU S, PAGANI L, ZENG W H, et al.Surface texture evaluation of additively manufactured metallic cellular scaffolds for acetabular implants using X-ray computed tomography[J].Bio-Design and Manufacturing, 2019, 2(2):55-64.
【7】SATO K, ABE M, TAKATSUJI T.Development of high-energy and high-resolution X-ray CT[J].Precision Engineering, 2018, 54:276-283.
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