CAJ | 학술논문

针对工业生产中提高燃气轮机叶片型面检测效率、实现叶片整体尺寸检测的实际需求，提出基于激光和光栅两种三维光学扫描的叶片型面检测方法。采集燃气轮机叶片三维点云数据，用统一采样和设定点云间最大偏差值的方法进行点云精简。根据6点定位原理和最小二乘法将精简点云与设计模型进行配准，提取叶片型面轮廓度和检测截面特征参数进行分析，并与三坐标检测结果对比。结果表明：两者检测叶片型面轮廓度在相同偏差范围内点云所占比例偏差都在1%以内，叶片型面特征参数尺寸相差都在0.02 mm以内。经试验证明，三维光学扫描方法检测速度快、适应性强、可靠性高，可为高效准确地进行叶片型面检测提供有效的技术手段。
침대공업생산중제고연기륜궤협편형면검측효솔、실현협편정체척촌검측적실제수구，제출기우격광화광책량충삼유광학소묘적협편형면검측방법。채집연기륜궤협편삼유점운수거，용통일채양화설정점운간최대편차치적방법진행점운정간。근거6점정위원리화최소이승법장정간점운여설계모형진행배준，제취협편형면륜곽도화검측절면특정삼수진행분석，병여삼좌표검측결과대비。결과표명：량자검측협편형면륜곽도재상동편차범위내점운소점비례편차도재1%이내，협편형면특정삼수척촌상차도재0.02 mm이내。경시험증명，삼유광학소묘방법검측속도쾌、괄응성강、가고성고，가위고효준학지진행협편형면검측제공유효적기술수단。
The paper has proposed a novel approach to examine the blade surface of steam turbines by laser scanning and raster scanning so as to improve the inspection efficiency and achieve 3D information detection in industrial production. The point cloud data of steam blade were collected and simplified through uniform sampling and by setting the maximum deviation for point cloud. The simplified point cloud is aligned with a design model in accordance with the six-point orientation principle and least square method to extract and analyze the profile of blade surface and characteristic parameters of detection section and then compare them with three-dimensional testing results. The results indicate that the proportions of point cloud differ by no more than 1% at the same deviation range in profile of blade surface, and the characteristic parameters of blade surface differ by no more than 0.02 mm in dimension. The experimental results demonstrate that the proposed method is fast and adaptable,reliable and accurate,it can be used to provide efficient method for blade surface inspection.