Jin'gangshi yu moliao moju gongcheng (Feb 2022)

Trajectory optimization and experiment of robotic belt grinding blisk

  • Fei LI,
  • Shulin CHEN,
  • Pangbo CUI,
  • Xin WU,
  • Guijian XIAO

DOI
https://doi.org/10.13394/j.cnki.jgszz.2021.0101
Journal volume & issue
Vol. 42, no. 1
pp. 23 – 29

Abstract

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The blisk has the characteristics of complex structure and difficult material processing. Its machining accuracy and surface quality have a crucial impact on the overall performance of the aero-engine. At present, the robotic belt grinding has been applied to grinding the complex surface of the blisk. However, since the target points are usually distributed evenly in the grinding trajectory plan, it requires a large amount of points, which leads to low processing efficiency. In this paper, the trajectory is optimized based on the improved equal chord height error method, and relevant simulation and experimental verification are carried out. The results show that the improved equal chord height error method can optimize the grinding trajectory according to the curvature change, reduce the number of target machining points and improve the machining efficiency. Experiments indicate that the machining efficiency of the blisk, compared with that before trajectory optimization, is increased by 42.9%. The surface roughness Ra after optimization can reach 0.26 μm, and the blade consistency is good, especially in the positions where the curvature changes greatly.

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