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基于线激光扫描的叶片三维型面重构方法
引用本文:董洁,王宗平,欧登荧,陈龙庆,谢罗峰,殷国富. 基于线激光扫描的叶片三维型面重构方法[J]. 四川大学学报(自然科学版), 2023, 60(3): 034001-117
作者姓名:董洁  王宗平  欧登荧  陈龙庆  谢罗峰  殷国富
作者单位:成都航空职业技术学院,四川大学机械工程学院,四川大学机械工程学院,四川大学原子核科学技术研究所 辐射物理及技术教育部重点实验室,四川大学机械工程学院,四川大学机械工程学院
基金项目:四川省科技厅项目(2022YFG0358);四川省科技计划(2022ZDZX0034);德阳市科技计划(2021JZJZ001);中央高校基金业务费(2021SCU12146)
摘    要:叶片作为航空发动机的核心部件,对整机的安全性和可靠性起着关键性作用.一直以来叶片型面的尺寸、形状精度在加工和检测过程中均有着严格要求.为此,本文提出一种基于线激光扫描的叶片三维型面重构方法.首先,基于研制的叶片四轴检测装置,结合线性编码器与线激光传感器实现了叶片型面的快速扫描与数据采集.然后,提出基于叶片基准面几何特征的多视场扫描数据拼接方法,完成了叶片型面的高精度重构.最后,以典型叶片为实验对象进行型面重构实验,并将重构数据与三坐标测量结果进行对比.结果表明叶片截面轮廓的平均偏差在0.040mm以内,标准差小于0.028mm.验证了提出的叶片型面重构方法的精确性与可行性.

关 键 词:线激光  叶片型面  三维重构  多视场数据拼接
收稿时间:2022-09-22
修稿时间:2023-01-08

Reconstruction method of blade 3D profile based on line-laser scanning
DONG Jie,WANG Zong-Ping,OU Deng-Ying,CHEN Long-Qing,XIE Luo-Feng and YIN Guo-Fu. Reconstruction method of blade 3D profile based on line-laser scanning[J]. Journal of Sichuan University (Natural Science Edition), 2023, 60(3): 034001-117
Authors:DONG Jie  WANG Zong-Ping  OU Deng-Ying  CHEN Long-Qing  XIE Luo-Feng  YIN Guo-Fu
Affiliation:Chengdu Aeronautic Polytechnic,School of Mechanical Engineering, Sichuan University,School of Mechanical Engineering, Sichuan University,Key Laboratory of Radiation Physics and Technology of the Ministry of Education, Institute of Nuclear Science and Technology, Sichuan University,School of Mechanical Engineering, Sichuan University,School of Mechanical Engineering, Sichuan University
Abstract:As the core component of aero-engine, the blade plays a key role in its safety and reliability. The dimension and shape accuracy of the blade profile have always been strictly required in the process of blade machining and measuring. Thus, in this paper we propose a method for reconstructing the three-dimensional profile based on line-laser scanning. First, based on the developed four-axis blade measurement device, the rapid scanning and data acquisition of the blade profile are realized by combining the linear encoder and the line laser sensor. Then, a registration method based on the geometric features of the blade datum plane is further proposed to align the multi-view scanning data of blade profile, and the high precision reconstruction of the blade profile are achieved accordingly. Finally, a typical blade is taken as the experimental object for profile reconstruction experiment, and the profile reconstruction data is compared with the CMM measurement results from the same blade. The results show that the average deviation of cross-sections in blade profile is less than 0.040 mm and the standard deviation is less than 0.028mm. This demonstrates the accuracy and feasibility of the proposed method.
Keywords:Line-laser   Blade profile   3D reconstruction   Multi-view data registration
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