A Vibration Suppression Method for the Multistage Rotor of an Aero-Engine Based on Assembly Optimization

Chen, Yue; Cui, Jiwen; Sun, Xun

doi:10.3390/machines9090189

Cited by 7 publications

(5 citation statements)

References 22 publications

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“…Saldarriaga and Steffen [33], Mohammadzadeh and Ghoddoosian [34], and Yao et al [35] dealt with balancing the rotors based on the utilization of different optimization methods. Chen et al [36] used an optimization technique for increasing the efficiency of vibration attenuation of an aero-engine rotor.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Control Parameters of Magnetorheological Squeeze Film Dampers to Minimize the Vibration Amplitude of Rotors Passing the Critical Speed

2023

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Rotors are often coupled with a stationary part by rolling element bearings. To suppress their excessive vibration, the bearings are inserted in squeeze film dampers. The control of damping in the support elements offers the possibility to minimize the oscillation amplitude of accelerating or decelerating rotors, passing the regions of critical speeds. The controllable damping effect can be achieved if the squeeze film dampers are lubricated with magnetorheological oil. The change in the applied current feeding the electric coil changes magnetic induction in the damper gap, which changes the oil damping properties. The minimum vibration amplitude of the rotor running up or down through the resonance area is accomplished if the current increase or decrease is not sudden, but if it is distributed in some time interval. This article concentrates on determination of the optimum parameters of this manipulation. The developed procedure leads to solving an unconstrained optimization problem with the implicit objective function. The evolution method was used for its solving. In the investigated case, the proposed procedure made it possible to reduce maximum vibration amplitude by about 40% compared with the uncontrolled current decrease. The main contribution of the conducted research work is presentation of a new and original procedure for controlling the damping effect in the rotor supports. It provides a new idea to the designers and engineers regarding how to minimize amplitude of the rotor vibration when passing the critical speed. In addition, the article points to a new area of utilization of controllable magnetorheological squeeze film dampers.

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Section: Introductionmentioning

confidence: 99%

Optimization of Control Parameters of Magnetorheological Squeeze Film Dampers to Minimize the Vibration Amplitude of Rotors Passing the Critical Speed

2023

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“…One of the core problems currently limiting the development of the engine is the vibration of the rotor structure when rotating at high speed. According to the statistics, the number of engine failures caused by vibration accounts for 50% to 60% of the total number of engine failures [1]. It has been proven that rotor unbalance is the main factor that generates vibration during the operation of an aero engine [2].…”

Section: Introductionmentioning

confidence: 99%

“…The current process for optimizing balance in aero engine assembly plants has the following main problems: (1) The blade sorting process only considers flushness and randomly selects pieces from the blades according to the blade code. Due to the blade manufacturing error with individual differences, randomly selected parts not only cause assembly quality dispersion, but poor connection performance consistency and often need to be repeatedly disassembled and adjusted to meet the assembly balance requirements, resulting in low assembly efficiency and high cost due to its "trial and error" nature.…”

Section: Introductionmentioning

confidence: 99%

Semi-Physical Simulation of Fan Rotor Assembly Process Optimization for Unbalance Based on Reinforcement Learning

Zhang

Wang

et al. 2022

Aerospace

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An aero engine fan rotor is composed of a multi-stage disk and multi-stage blades. Excessive unbalance of the aero engine fan rotor after assembly is the main cause of aero engine vibration. In the rotor assembly process, blade sequencing optimization and multi-stage blade set assembly phase optimization are important for reducing the overall rotor unbalance. To address this problem, this paper proposes a semi-physical simulation method based on reinforcement learning to optimize the balance in the fan rotor assembly process. Firstly, based on the mass moments of individual blades, the diagonal mass moment difference is introduced as a constraint to build a single-stage blade sorting optimization model, and reinforcement learning is used to find the optimal sorting path so that the balance of the single-stage blade after sorting is optimal. Then, on the basis of the initial unbalance of the disk and the unbalance of the single-stage blade set, a multi-stage blade assembly phase optimization model is established, and reinforcement learning is used to find the optimal assembly phase so that the overall balance of the rotor is optimal. Finally, based on the collection of data during the assembly of the rotor, the least-squares method is used to fit and calculate the real-time assembly unbalance to achieve a semi-physical simulation of the optimization of balance during the assembly process. The feasibility and effectiveness of the proposed method are verified by experiments.

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“…It is a typical multistage disk structure. The unbalance is the result of the superposition of unbalance vectors distributed on every single piece [6]. The changing and coupled assembly processes lead to the following difficulties in predicting low-pressure rotor unbalance during assembly:…”

Section: Introductionmentioning

confidence: 99%

Unbalance Prediction of Low Pressure Rotor Based on Mechanism and Data Fusion

et al. 2022

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The assembly, as the core part of low-pressure rotor manufacturing, is of great importance to ensure its unbalance. Low-voltage rotor assembly is a multi-process process influenced by the quality of part machining, assembly process, and assembly quality, resulting in unbalance that is difficult to predict during the assembly process. The unbalance measurement in the assembly process is important for the subsequent process optimization. Therefore, in order to achieve the prediction of unbalance measurement in the assembly process, this paper proposes an unbalance measurement prediction method based on mechanism and data fusion. Firstly, through research and analysis, the influencing factors of unbalance are determined, the low-pressure rotor blade sequencing mechanism model is established, and the blade sequencing optimization is realized by using reinforcement learning. Then, since the unbalance is formed after all the processes are completed and the subsequent work steps in the assembly process have not been carried out yet, the actual process parameters cannot be obtained, the semi-physical simulation method is used to combine the actual data of the assembled work steps with the theoretical data of the unassembled work steps to build a prediction model of the unbalance based on the BRNN (bidirectional recurrent neural network) network to achieve the prediction of the unbalance measurement in the assembly process. Finally, the model was validated using actual assembly process data, which proved the feasibility and effectiveness of the method.

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A Vibration Suppression Method for the Multistage Rotor of an Aero-Engine Based on Assembly Optimization

Cited by 7 publications

References 22 publications

Optimization of Control Parameters of Magnetorheological Squeeze Film Dampers to Minimize the Vibration Amplitude of Rotors Passing the Critical Speed

Optimization of Control Parameters of Magnetorheological Squeeze Film Dampers to Minimize the Vibration Amplitude of Rotors Passing the Critical Speed

Semi-Physical Simulation of Fan Rotor Assembly Process Optimization for Unbalance Based on Reinforcement Learning

Unbalance Prediction of Low Pressure Rotor Based on Mechanism and Data Fusion

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