多目标约束的精锻叶片几何重构优化算法

doi:10.7527/S1000-6893.2018.21844

Abstract

Abstract: The precision forging technology is the favored means to improve the machining accuracy and efficiency of aero-engine blade manufacturing. However, there is still a certain geometric deviation between the forged blade surface and the design model, causing the edges of the blade machined based on the design model cannot match well with the blade body. To solve this issue, a geometric reconstruction method for adaptive machining of the precision forged blade is proposed. The objective function of match is established based on the tolerance constraint, and the Particle Swarm Optimization (PSO) algorithm for solving this objective function is presented. A smoothing reconstruction algorithm is proposed to predict the profile of the edge shape based on deformation trend of the blade surface. Experiments verify effectiveness of the approach and algorithm proposed in this paper. The results show that this method can reconstruct a qualified model for high-efficiency and precision requirements of adaptive machining of the precision forged blade. This approach is finally verified with a precision forged blade by the adaptive CNC machining.

Key words: precision forged blade, leading/trailing edge, adaptive machining, match, geometric reconstruction, deformation trend, smoothness

CLC Number:

V261

FENG Yazhou, REN Junxue, LIANG Yongshou, LIU Mingshan. Multi-objective optimization algorithm for geometric reconstruction of precision forged blade[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2018, 39(7): 421844-421844.

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Multi-objective optimization algorithm for geometric reconstruction of precision forged blade

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