Repair Decision Based on Sensitivity Analysis for Aero-Engine Assembly

Sun, Yanhui; Guo, Junkang; Hong, Jun; Liu, Guanghui; Wu, Wenwu; Yu, Cong

doi:10.1007/s12541-019-00094-0

Cited by 8 publications

(6 citation statements)

References 19 publications

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“…Provided that the table axis acts as an optimization datum for the coaxiality, the coaxiality C of an n-stage rotor after assembly can be expressed in equation (3). erefore, the maximum concentricity of the assembled rotors at various stages can be denoted as follows: 4 Complexity…”

Section: Assembly Optimization Strategymentioning

confidence: 99%

“…e assembly technique is the ultimate technical link during the manufacturing process of an aeroengine. Especially for the core parts typically represented by the high pressure compressor (HPC) and the low pressure compressor (LPC), their assembly quality may have a direct effect on the stability of an aeroengine in high-speed operation [1][2][3]. Coaxiality and unbalance out of tolerance caused by improper assembly may give rise to complicated vibrations and noises [4][5][6][7].…”

Section: Introductionmentioning

confidence: 99%

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Research on Multistage Rotor Assembly Optimization Methods for Aeroengine Based on the Genetic Algorithm

et al. 2021

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The coaxiality and unbalance are the two important indexes to evaluate the assembly quality of an aeroengine. It often needs to be tested and disassembled repeatedly to meet the double-objective requirements at the same time. Therefore, an intelligent assembly method is urgently needed to directly predict the optimal assembly orientations of the rotors at each stage to meet the double-objective requirements simultaneously. In this study, an assembly optimization method for the multistage rotor of an aeroengine is proposed based on the genetic algorithm. Firstly, a spatial location propagation model is developed to accurately predict the spatial position of each rotor after assembly. The alignment process of the assembly screw holes of the adjacent rotors is considered for the first time. Secondly, a new assembly optimization strategy is proposed to select different assembly data for the specific values of the coaxiality and unbalance, respectively. Finally, a double-objective fitness function is constructed based on the coaxiality and unbalance. The simulation and experimental results show that the assembly optimization method proposed in this study can be utilized to achieve synchronous optimization of the coaxiality and unbalance of an aeroengine during preassembly.

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Section: Assembly Optimization Strategymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Research on Multistage Rotor Assembly Optimization Methods for Aeroengine Based on the Genetic Algorithm

et al. 2021

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“…Sun et al [15] analyzed the primary and secondary relationship of the positioning datum of the rotor at different stages, transformed parts of the parallel dimension chain into the series dimension chain, established a more accurate Jacobian error transfer model, and applied it to calculate the cumulative eccentric errors. However, Sun et al [16] pointed out that the dimension of the Jacobi matrix changes with the number of parts, which is not suitable for fast modelling. Then, they constructed a deviation propagation analysis model by homogeneous coordinate transformation.…”

Section: Introductionmentioning

confidence: 99%

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

2021

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The assembly quality of the multistage rotor is an essential factor affecting its vibration level. The existing optimization methods for the assembly angles of the rotors at each stage can ensure the concentricity and unbalance meet the requirements, but it cannot directly ensure its vibration responses meet the indexes. Therefore, in this study, we first derived the excitation formulas of the geometric and mass eccentricities on the multistage rotor and introduced it into the dynamics model of the multistage rotor system. Then, the coordinate transfer model of the geometric and mass eccentricities errors, including assembly angles of the rotors at all stages, was established. Moreover, the mathematical relationship between the assembly angles of the rotors at all stages and the nodal vibration responses was established by combining the error transfer model with the dynamics model of the multistage rotor system. Furthermore, an optimization function was developed, which takes the assembly angles as the optimization variables and the maximum vibration velocity at the bearings as the optimization objective. Finally, a simplified four-stage high-pressure rotor system was assembled according to the optimal assembly angles calculated in the simulations. The experimental results showed that the maximum vibration velocity at the bearings under the optimal assembly was reduced by 69.6% and 45.5% compared with that under the worst assembly and default assembly. The assembly optimization method proposed in this study has a significant effect on the vibration suppression of the multistage rotor of an aero-engine.

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“…Based on the above tolerance models, several tolerance analysis methods to predict assembly deviations, such as the variational method [17,18], matrix method [19,20], vector loop method [21,22], Jacobian method [23][24][25], and T-map-based method [26,27] have been studied. Most of these analysis methods are mainly worst-case or statisticalcase methods.…”

Section: Introductionmentioning

confidence: 99%

Precision Assembly Simulation of Skin Model Shapes Accounting for Contact Deformation and Geometric Deviations for Statistical Tolerance Analysis Method

Xiong

2021

Int. J. Precis. Eng. Manuf.

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Tolerance analysis methods, which are important to achieve a balance between manufacturing costs and functional requirements, have been studied and improved over the last 30 years. This paper proposes a new method to improve the precision of assembly simulation for statistical assembly simulation; by investigating the effect of the geometric deviations and mechanical behaviors of assembly contact on the stack-up assembly deviation by combining the recent theories on the tolerance analysis of rigid bodies and local contact deformation. To improve the precision of the tolerance analysis, real parts with form defects were simulated with the help of non-nominal skin model shapes. The SMSs were first considered to be rigid, and a quadratic optimization-based method for the rigid body displacement was used to calculate the initial contact points of all the SMSs. Next, contact deformation, following Hertzian contact theory, occurred at the initial contact points, which changed the relative positions of the SMSs in the subsequent interactions. The iteration process was convergent, and the final simulation for tolerance analysis could be generated after several iterations. Case studies demonstrated the practicality of the proposed method. Their actual assembly deviations were simulated by combining the effects of geometric deviations and local surface deformations. Since the proposed tolerance analysis framework based on statistical assembly simulation, it is expected to control the functional requirements of mechanical assemblies with much rough tolerance design and help optimize the tolerance in the future.

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Repair Decision Based on Sensitivity Analysis for Aero-Engine Assembly

Cited by 8 publications

References 19 publications

Research on Multistage Rotor Assembly Optimization Methods for Aeroengine Based on the Genetic Algorithm

Research on Multistage Rotor Assembly Optimization Methods for Aeroengine Based on the Genetic Algorithm

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

Precision Assembly Simulation of Skin Model Shapes Accounting for Contact Deformation and Geometric Deviations for Statistical Tolerance Analysis Method

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