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Convolutional neural network-based step-by-step stacking method and device for initial unbalance of multistage parts of large high-speed rotary equipment

A convolutional neural network and balancing technology, which is applied in the field of stacking the initial unbalance of multi-stage components of large-scale high-speed rotary equipment, can solve the problems of large vibration, large unbalance of aero-engine rotors, and poor assembly quality, and achieves a high level of improvement. The effect of efficiency and precision

Active Publication Date: 2019-06-11
HARBIN INST OF TECH
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Problems solved by technology

[0003] Aiming at the deficiencies of the above-mentioned existing technologies, a method of stacking the initial unbalance of multi-level components of large-scale high-speed rotary equipment based on the minimization of centroid and mass center is proposed to solve the problem of large initial unbalance of aero-engine rotor assembly. Poor assembly quality and large vibration problems, improve the performance of the engine rotor

Method used

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  • Convolutional neural network-based step-by-step stacking method and device for initial unbalance of multistage parts of large high-speed rotary equipment
  • Convolutional neural network-based step-by-step stacking method and device for initial unbalance of multistage parts of large high-speed rotary equipment
  • Convolutional neural network-based step-by-step stacking method and device for initial unbalance of multistage parts of large high-speed rotary equipment

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Embodiment 1

[0031] Based on the minimization of centroid and mass center, the method of stacking the initial unbalance of multi-level parts of large-scale high-speed rotary equipment step by step, such as figure 1 As shown, the method includes

[0032] Step 1. During the assembly of the multi-stage rotor of the aero-engine, the positioning error of the single-stage rotor will be transmitted and accumulated, which will affect the accumulated eccentricity error of the multi-stage rotor after assembly. Determine the eccentricity error transfer matrix caused by the positioning error of the rotors at each stage after the n-stage rotor is assembled, and the eccentricity error transfer matrix is:

[0033]

[0034] Among them, p i is the ideal position vector of the center of the radial measuring surface of the i-th rotor; dp i is the machining error vector of the center position of the radial measuring surface of the i-th rotor; Sri Rotate θ around the Z axis for the i-th stage rotor ri Ro...

Embodiment 2

[0051] A step-by-step stacking device for the initial unbalance of multi-level parts of large-scale high-speed rotary equipment based on the minimization of centroid and mass center, such as figure 2 As shown, the device includes a base 1, an air bearing shafting 2, a centering and tilting workbench 3, precision force sensors 4a, 4b, 4c, a static balance measuring platform 5, a column 6, and a lower transverse measuring rod 7 , the lower telescopic inductive sensor 8, the upper horizontal measuring rod 9 and the upper lever inductive sensor 10; the air bearing shaft system 2 is nested in the center of the base 1, and the self-aligning and tilting workbench 3 is arranged on the air bearing shaft At the center of the system 2, three precision force sensors 4a, 4b, 4c are evenly arranged on the centering and tilting workbench 3; the static balance measurement platform 5 is on the three precision force sensors 4a, 4b, 4c; the column 6 is distributed on The left side of the air be...

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Abstract

The invention provides a convolutional neural network-based step-by-step stacking method and device for initial unbalance of multistage parts of large high-speed rotary equipment, and belongs to the technical field of mechanical assembly. The method comprises the following steps: firstly, respectively obtaining eccentric error transfer matrixes caused by rotor positioning errors of all stages after n stages of rotors are assembled; after assembly, acquiring the n-th-stage rotor unbalance amount caused by the rotor positioning error of each stage; after the n stages of rotors are assembled, acquiring an eccentric error transfer matrix caused by rotor orientation errors of all stages and an nth stage of rotor unbalance caused by rotor orientation errors of all stages, then acquiring the unbalance of any stage of rotor after the multistage rotors are assembled in a vector addition mode, and establishing an optimization model according to the unbalance. The device comprises a base, an airfloatation shaft system and an aligning and inclination adjusting workbench which are a precision force sensor, a static balance measuring platform, a stand column, a lower transverse measuring rod, alower telescopic inductance sensor, an upper transverse measuring rod and an upper lever type inductance sensor respectively.

Description

technical field [0001] The invention relates to a step-by-step stacking method and device for initial unbalanced quantities of multi-level components of large-scale high-speed rotary equipment based on a convolutional neural network, and belongs to the technical field of mechanical assembly. Background technique [0002] The aero engine is the core component of the aircraft. In order to ensure the safety of the aircraft, it needs to work safely and reliably for a long time. The vibration of the rotor seriously affects the safety, efficiency and life of the engine, and the unbalance of the rotor is an important factor determining the vibration response of the engine rotor. The engine rotor is assembled by a plurality of discs, and the unbalanced amount of the discs at each level forms the unbalanced amount of the rotor through a certain combination. Although the unbalance of each stage disc is strictly limited during the design process, if the assembly is improper, the unbal...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N3/04G06N3/12G01M1/16
Inventor 刘永猛孙传智谭久彬胡明
Owner HARBIN INST OF TECH
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