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A comprehensive study of three dimensional deviation analysis methods for aero-engine rotors assembly
Author(s) -
Sha Ding,
Xin Zheng,
Bao Jin,
Jie Zhang
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/688/3/033039
Subject(s) - rotor (electric) , standard deviation , dimension (graph theory) , computer science , mechanical engineering , engineering , mathematics , statistics , pure mathematics
Rotor assembly is a core tache in the whole process of aero-engine manufacturing. The assembly deviation analysis is an effective tool to control deviation propagation. For aero-engine rotors assembly, the traditional deviation control methods focus on the modeling of plane dimension chain and extremum analysis, which is difficult to comprehensively consider the rich geometrical errors and their relationship to each other; meanwhile, the precision prediction is too conservative to reduce the parts’ rework frequency and adjusting difficulty; In addition, traditional methods overemphasize the promotion of parts’ machining precision, and ignore the means of overall stack optimization. In recent years, three dimensional deviation analysis and control methods have a lot of developments. These methods synthetically consider the matters of size deviation, form and location deviation, fixing structure and the positioning relationship. The poor concentricity problem of gyro black assembly can be exactly described, which is beneficial to control assembly deviation. This paper deals with aero-engine rotors assembly problem from two perspectives: deviation expression and deviation propagation, gives the difficulties of this topic, and provides a detailed review on the most recent approaches about partial deviation expression and three dimensional chain propagation. Finally, a perspective overview of the future research about aero-engine rotors assembly is presented, such as rotors deformation, surface morphology representation and matching, and the relationship between assembly precision geometry and performance physical quantity.

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