Abstract
The blade is the key part of aero-engine. The detection of the blade profile feature parameters is an important aspect in blade manufacturing. However, the surface of the blade is free-form surface. It is difficult to extract feature parameters. In this paper, a robust feature identify method is proposed. First, the theoretical profile is segmented to concave, convex, leading edge and trailing edge by a regional identifying method. Second, the actual profile is segmented to four parts through the theoretical profile. According to the actual segmentation results, the profile feature parameter is solved. The simulation and experiment manifest that the proposed method is well robustness.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Savio, E., De Chiffre, L., Schmitt, R.: Metrology of freeform shaped parts. CIRP Ann. 56(2), 810–835 (2007)
Huang, J., Wang, Z., Gao, J.: Overview on the profile measurement of turbine blade and its development. Proc. SPIE Int. Soc. Opt. Eng. 7656(1), 1–11 (2010)
Hageniers, O.L.: Laser coordinate measuring machine for cylindrical parts. In: Quebec Symposium. International Society for Optics and Photonics (1986)
Jiang, C., Lim, B., Zhang, S.: Three-dimensional shape measurement using a structured light system with dual projectors. Appl. Opt. 57(14), 3983–3990 (2018)
Wang, Z.Y., Zhang, X., Shen, Y.J.: A novel 3D radius compensation method of probe stylus tip in the free-form surface profile curve scanning measurement. Meas. Sci. Technol. 31(2020), 1–11 (2020)
Sato, O., Matsuzaki, K., Fujimoto, H.: Challenge for the traceable dimensional measurement using CMM in factory floor. Appl. Mech. Mater. 870(1), 243–248 (2017)
Wu, D., Wang, H., Zhang, K., Zhao, B., Lin, X.: Research on adaptive CNC machining arithmetic and process for near-net-shaped jet engine blade. J. Intell. Manuf. 31(3), 717–744 (2019). https://doi.org/10.1007/s10845-019-01474-z
Chen, Z.: Research of cross-sectional feature parameter extraction of blade based on measurement data
HB 20126–2012 Requirements of measurement for aero-engine blades and vanes using CMM
Bu, K., Zhang, X., Ren, S.: Research on influence of CMM sampling points on detection of feature parameters for turbine blade. J. Northwestern Polytech. Univ. 37(4), 767–773 (2019)
Shu-Gui, L., Chen-Li, M., Hai-Tao, Z.: Cross-sectional feature parameters extraction of blade based on unorganized point cloud. J. Aerospace Power 5(3), 368–378 (2016)
Zhi-Qiang, C.: Cross-sectional feature parameter extraction of blade based on measurement data. Sci. Technol. Eng. 7(9), 1671–1819 (2007).
Acknowledgement
This research was partially supported by the key research project of the Ministry of Science and Technology (Grant No. 2018YFB1306802) and the National Natural Science Foundation of China (Grant No. 51975344).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Switzerland AG
About this paper
Cite this paper
Wang, Z., Zhang, X., Zheng, Z., Li, J. (2021). A Robust Blade Profile Feature Parameter Identifying Method. In: Liu, XJ., Nie, Z., Yu, J., Xie, F., Song, R. (eds) Intelligent Robotics and Applications. ICIRA 2021. Lecture Notes in Computer Science(), vol 13014. Springer, Cham. https://doi.org/10.1007/978-3-030-89098-8_68
Download citation
DOI: https://doi.org/10.1007/978-3-030-89098-8_68
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-89097-1
Online ISBN: 978-3-030-89098-8
eBook Packages: Computer ScienceComputer Science (R0)