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Research on robot regrinding trajectory planning and surface characteristics of damaged blades.

Authors :
Zhipeng, Su
Zhiqiang, Liang
Yuchao, Du
Boya, Feng
Lei, Zhou
Liping, Ma
Shihong, Xiao
Yue, Ding
Xibin, Wang
Source :
International Journal of Advanced Manufacturing Technology. Jan2024, Vol. 130 Issue 5/6, p2743-2754. 12p.
Publication Year :
2024

Abstract

Aeroengine blades are the power components most relevant to the energy conversion process. Due to the harsh working environment, the blades are seriously damaged after service, which affects their dynamic performance. The regrinding of damaged blades can extend their service life. However, the machining flexibility of the traditional grinding machine tool is insufficient to meet the needs of damaged blade repair, and the regrinding track of the blade cannot be directly generated by its theoretical geometric model. In order to solve the above problems, a robot regrinding scheme and trajectory planning method for damaged blades has been put forward. Based on the morphology measurement results of damaged blades, the point cloud reconstruction and regrinding trajectory research were carried out. The precision regrinding of damaged blades was realized. The comparison results of damaged blade morphology before and after regrinding indicate that the surface quality of the blade was improved significantly after regrinding. There are no obvious scratches, deep grooves, and large area adhesion on the repaired surface. The fractal dimension of the surface after regrinding is increased in different directions, which indicates that the surface structure characteristics after grinding are more fine. The average surface roughness of blades after robot regrinding is reduced from 2.67 to 1.59 μm. The profile error after robot regrinding is reduced from 0.35 to 0.16 mm. The research results provide a reference for the repair and manufacturing of blades. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
02683768
Volume :
130
Issue :
5/6
Database :
Academic Search Index
Journal :
International Journal of Advanced Manufacturing Technology
Publication Type :
Academic Journal
Accession number :
174602575
Full Text :
https://doi.org/10.1007/s00170-023-12819-7