Study on Measuring Technology of Blade Sections Based on Optical Scanning
BI Chao, WANG Jin, LI Di, FANG Jianguo
Aviation Key Laboratory of Science and Technology on Precision Manufacturing Technology, Beijing Precision Engineering Institute for Aircraft Industry, Beijing 100076, China
Aero-engine blades have a great influence on the overall performance of the engine. Therefore, inspection of the blade surfaces in a rapid and accurate manner has become a key segment to improve the manufacturing quality of blades, as well as the performance and lifetime of the engine. In order to measure the geometrical shapes and dimensions of those workpieces with complex surfaces such as blades in a way of high accuracy and efficiency, the study on application of an optical scanning system in measuring of section parameters of a blade is carried on in the paper. Taking the traditional coordinate measuring machine (CMM) as the system platform, the optical scanning system is equipped with a new laser scanning probe, which is based on the measuring principle of circumferention triangulation. Also, combining with the special data processing software, the system can be used to inspect and evaluate the geometrical parameters of the specified sections of a blade, which could serve as an advanced solution for the shape inspection and quality control of blades. For verifying the application effect of the optical scanning system in the measurement of blade surfaces, a twisted fan blade is selected as the target. In the measuring procedure, 5 sections of the blade are scanned and measured by the system. After the model matching, the errors of profile, centroid position and chord angle on every section are derived, which fully manifests the effectiveness and practicality of the measuring system.
基金资助:国家科技重大专项(2013ZX04011–031)。
作者简介: 毕超:工学硕士、高级工程师,主要从事精密测试技术及仪器等方面的研究工作。
引用本文:
毕超,王津,李迪,房建国. 基于光学扫描的叶片截面测量技术研究[J]. 航空制造技术, 2018, 61(15): 91-95.
BI Chao, WANG Jin, LI Di, FANG Jianguo. Study on Measuring Technology of Blade Sections Based on Optical Scanning. Aeronautical Manufacturing Technology, 2018, 61(15): 91-95.