Multi-stage Rotor Assembly Phase Optimization for Vibration Control
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for studying and controlling vibration in aero-engine rotors lack explicit geometry parameter optimization and fail to establish a high-speed vibration response measurement model, leading to unoptimized performance due to unbalanced excitations and stiffness parameters.
Innovation Solution
A stage-by-stage measurement, regulation, and distribution method for dynamic characteristics of multi-stage components using multi-biased error synchronous compensation, which includes establishing a five-parameter circular contour measurement model, determining eccentricity errors, and optimizing assembly phases to adjust rotor speed and balance, thereby optimizing high-speed response parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If single-objective coaxiality optimization is performed alone without considering rotation errors around X and Y axes, then the coaxiality model is simplified, but the high-speed vibration response cannot be optimized due to incomplete error compensation
Solution Approach 1:
The patent segments the error compensation process into multiple independent stages (coarse adjustment stage and fine adjustment stage), each handling specific error components. The coarse stage addresses major coaxiality deviations, while the fine stage compensates for high-speed vibration responses, allowing complex multi-axis errors to be managed through sequential simplified operations
Solution Approach 2:
The patent performs preliminary coarse adjustment of coaxiality before high-speed rotation testing. By pre-compensating for major geometric errors and misalignments in the assembly process, the system reduces the magnitude of errors that would otherwise manifest during high-speed operation, enabling more effective optimization of vibration response
2Productivity
If multi-stage rotor assembly is performed without stage-by-stage error compensation, then the assembly process is simpler, but cumulative measurement errors propagate and amplify leading to unoptimized high-speed response
Solution Approach 1:
The patent implements preliminary error measurement and compensation at each assembly stage before proceeding to the next stage. By measuring and correcting errors in the first stage rotor before assembling the second stage, the system prevents cumulative error propagation while maintaining a systematic assembly workflow that does not significantly impact productivity
Solution Approach 2:
The patent employs feedback mechanisms where measurement data from each assembly stage is used to adjust and optimize the next stage. The measurement results from previous stages inform the compensation actions in subsequent stages, creating a closed-loop control system that continuously optimizes the multi-stage rotor assembly without requiring complete disassembly or rework
3Measurement precision
If comprehensive five-parameter measurement model is used including all error sources, then measurement precision is improved, but the complexity of error compensation and optimization increases significantly
Solution Approach 1:
The patent divides the comprehensive five-parameter measurement model into two functional groups: geometric parameters (coaxiality, circularity) handled in the coarse adjustment stage, and dynamic parameters (eccentricity, unbalance) handled in the fine adjustment stage. This segmentation allows each stage to focus on specific parameters, reducing the apparent complexity while maintaining comprehensive measurement capability
Solution Approach 2:
The patent transitions from static geometric measurement to dynamic measurement as rotor speed increases. The measurement system adapts its focus based on operating conditions: geometric parameters dominate at low speeds, while dynamic parameters become more significant at high speeds. This dynamic approach allows the system to manage complexity by emphasizing different parameter sets at different operational phases
Data Source
AI summary
The disclosure provides a stage-by-stage measurement, regulation and distribution method for dynamic characteristics of multi-stage components of large-scale high-speed rotary equipment. Firstly, a single-stage rotor circular contour measurement model is established, and the circular contour measurement model is simplified by using a distance from an ith sampling point of an ellipse to a geometry center to obtain a simplified circular contour measurement model. Then, actually measured circular contour data is taken into the simplified circular contour measurement model to determine a relationship between dynamic response parameters after rotor assembly and eccentricity errors as well as the amount of unbalance of all stages of rotors. Finally, a rotor speed is set according to the relationship between the dynamic response parameters after rotor assembly and the eccentricity errors as well as the amount of unbalance of all stages of rotors to obtain a critical speed parameter objective function.