Multi-Stage Rotor Assembly Using Four-Center Vector Minimization
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Solution Overview
Problem
Existing optimization methods for assembling multiple stages of rotors in aircraft engines fail to provide a theoretical basis for optimizing the mass center, center of gravity, and center of inertia, leading to unbalanced rotor assemblies and increased engine vibration due to the amplification of assembly errors at high operating speeds.
Innovation Solution
A large-scale high-speed rotary equipment measuring and intelligent learning assembly method based on vector minimization of the geometry center, mass center, center of gravity, and center of inertia, which involves establishing a four-parameter circular profile measuring model, performing morphological filtering, and using a BP neural network to predict and correct eccentric errors and unbalance, thereby optimizing the assembly of multiple stages of rotors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If existing optimization methods only consider concentricity optimization in multi-stage rotor assembly, then the assembly process is simple, but the mass center, center of gravity and center of inertia cannot be optimized, leading to unbalance and vibration
Solution Approach 1:
The patent segments the assembly optimization into four distinct target centers (geometry center, mass center, center of gravity, and center of inertia), each measured and optimized independently. This segmentation allows comprehensive optimization without excessive complexity by treating each center as a separate measurement and optimization task.
Solution Approach 2:
The patent introduces four key parameters (geometry center position, mass center position, center of gravity position, and center of inertia position) to transform the assembly optimization problem from simple concentricity control to multi-parameter joint optimization, enabling precise control of rotor balance and reducing vibration.
2Power
If high-speed rotation is achieved, then power output increases, but assembly errors are amplified causing vibration and blade-casing collision
Solution Approach 1:
The patent performs preliminary measurement and optimization of the four target centers during the assembly process, before the rotor enters high-speed operation. By pre-correcting eccentricities and unbalance in the assembly stage, the harmful vibrations that would be amplified at high speed are eliminated in advance.
Solution Approach 2:
The patent uses measurement data from the four target centers to provide feedback for adjusting rotor positioning and assembly parameters. This feedback mechanism enables real-time correction of assembly errors, ensuring that even at high rotation speeds, the rotor maintains proper balance and avoids vibration-induced blade-casing collisions.
3Measurement precision
If circular profile measurement is performed with equal interval sampling, then measurement process is simple, but measurement precision is insufficient due to eccentricity and sensor offset
Solution Approach 1:
The patent transitions from equal-interval symmetric sampling to non-uniform asymmetric sampling based on actual measured data. By allowing sampling intervals to vary according to the actual circular profile characteristics and eccentricity, the measurement system achieves higher precision in determining the four target centers while accounting for sensor offset and rotor eccentricity.
Solution Approach 2:
The patent introduces a four-parameter circular profile measurement model as an intermediary between the raw measurement data and the final center position determination. This model incorporates eccentricity, sensor offset, and other error factors, serving as a mediator that transforms imperfect measurement data into precise center position information.
4Productivity
If multi-stage rotor assembly is performed without considering mass center and center of gravity optimization, then assembly process is fast, but unbalance response is amplified at working rotation speed
Solution Approach 1:
The patent performs preliminary measurement and optimization of mass center and center of gravity positions during the assembly process itself, rather than requiring separate post-assembly balancing operations. This preliminary action enables fast assembly while simultaneously achieving high rotor balance precision, eliminating the need for time-consuming trial-and-error balancing at high speed.
Data Source
AI summary
The present invention provides a large-scale high-speed rotary equipment measuring and intelligent learning assembly method and device based on vector minimization geometry center, mass center, the center of gravity and the center of inertia, belonging to the technical field of mechanical assembly. The method includes the steps of establishing a four-parameter circular profile measuring model for a single stage of rotor, simplifying the established four-parameter circular profile measuring model for the single stage of rotor, and establishing a four-target optimization model of the geometry center, mass center, the center of gravity and the center of inertia of multiple stages of rotors based on the angular orientation mounting position of each stage of rotor. The device include a base, an air flotation shaft system, an aligning and tilt regulating workbench, precise force sensors, a static balance measuring platform, an upright column, a lower transverse measuring rod, a lower telescopic inductive sensor, an upper transverse measuring rod and an upper lever type inductive sensor.