A rotor stacking optimization prediction method, system, and related devices based on radial jump correction.
By segmenting the rotor radial runout data and combining it with geometric and mechanical analysis, the problem of neglecting local fit in the existing technology was solved, thereby improving the accuracy and pass rate of engine rotor assembly.
CN122087244APending Publication Date: 2026-05-26AECC COMML AIRCRAFT ENGINE CO LTD
View PDF 0 Cites 0 Cited by
Patent Information
- Application Number
- CN202411716342.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-26
- Publication Date
- 2026-05-26
AI Technical Summary
Technical Problem
Existing assembly prediction methods analyze the axis distribution of the rotor after assembly through geometric state analysis, but ignore the local fit during the rotor assembly process, resulting in insufficient assembly accuracy.
Method used
By measuring the rotor radial runout data, dividing it into several runout sets, and by analyzing and correcting the data, the concentricity after assembly is predicted, and the prediction accuracy is improved by combining geometric and mechanical analysis.
Benefits of technology
It improved the predictive accuracy and first-pass yield of engine rotor assembly, reduced assembly costs, and decreased reliance on foreign technology.
✦ Generated by Eureka AI based on patent content.
Smart Images
Figure CN122087244A_ABST
Abstract
This invention provides a rotor stacking optimization prediction method, system, and related apparatus based on radial runout correction. The rotor stacking optimization prediction method includes the following steps: S1, measuring the radial runout data of a first rotor and a second rotor; S2, dividing the radial runout data of the first rotor into several parts to form a runout set, and dividing the radial runout data of the second rotor into several parts to form a runout set; the number of runout data of the second rotor after division is the same as the number of runout data of the first rotor; S3, analyzing the data of the runout set of the first rotor and the data of the runout set of the second rotor after division, and calculating the impact of the corrected runout set data on the predicted eccentricity after assembly; S4, predicting the concentricity of the two-stage rotors after assembly, and correcting the runout data of the second rotor based on the predicted concentricity result. This invention improves prediction accuracy and solves the problem of improving the assembly accuracy of engine rotors.
Need to check novelty before this filing date? Find Prior Art