Geometric error reduction in the assembly of axi-symmetric rigid components: a two-dimensional case study

Hussain, Tanweer; McWilliam, Stewart; Popov, Atanas A.; Yang, Zhiming

doi:10.1177/0954405412443471

Cited by 17 publications

(13 citation statements)

References 29 publications

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“…Hussain et al [12] derived a progressive eccentricity error optimization model, and the corresponding physical significance still conformed to the concept of a straight-build assembly. Yang et al [13] also probed into how the number of the circumferential assembly orientations affects the cumulative error of assembly.…”

Section: Introductionmentioning

confidence: 94%

An Unbalance Optimization Method for a Multi-Stage Rotor Based on an Assembly Error Propagation Model

2021

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For the assembly of a multi-stage rotor, such as an aero-engine or gas turbine, the parts need to be assembled optimally to avoid excessive unbalance. We propose a method to optimize the unbalance of a multi-stage rotor during assembly. First, we developed an assembly error propagation model for a multi-stage rotor. The alignment process and distribution of the screw holes of the adjacent rotors was considered for the first time. Secondly, we propose a new assembly datum for unbalance optimization to ensure consistency with the actual conditions of a dynamic balance test. Finally, the unbalance optimization of a multi-stage rotor was achieved using a genetic algorithm, and the corresponding optimal assembly orientations of rotors at different stages were also identified. The results of the simulations showed that the assembly error propagation model had high accuracy and that the genetic optimization process had good convergence. The effect of unbalance optimization was also proven with experiments.

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Section: Introductionmentioning

confidence: 94%

An Unbalance Optimization Method for a Multi-Stage Rotor Based on an Assembly Error Propagation Model

2021

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“…But this model neglected the geometric errors expression. (2) Connective assembly model (CAM): Hussain et al 31–33 made a lot of researches on rotor assembly precision control. They adopted CAM model to control variations accumulation of cylinders.…”

Section: Introductionmentioning

confidence: 99%

An improved Jacobian-Torsor model for statistical variation solution in aero-engine rotors assembly

Ding¹,

Zheng²,

Jin³

et al. 2020

Proceedings of the Institution of Mechanical Engineers, Part B:

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Rotor assembly is one of the core components of aero-engine, which basically consists of multistage revolving components. With the influence of parts’ manufacturing errors and practical assembly technology, assembly variations are unavoidable which will cause insecurity and unreliable of the whole engine. Statistical variation solution is a feasible means to analyze assembly precision. When using the three-dimensional variation analysis in rotor assembly, two key issues cannot be well solved, which involve the variation expression (the over-positioning problem of multiple datums) and the variation propagation (revolving characteristic of the rotors). To overcome the deficiency, extended Jacobian matrix and updated torsor equation were derived and unified, which eventually resulted in the improved Jacobian-Torsor model. This model can both provide rotation regulating mechanism by introducing the revolution joint, and characterize the interaction between essential mating features. Multistage rotational optimization of four-stage aero-engine rotors assembly has been performed to demonstrate this solution in statistical way. Results showed that the proposed model was applicable and conducive to precision prediction and analysis in design preliminary stage.

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“…Although the components are in the high precision processing, the process error of each component is propagated and accumulated in the assembly process and might eventually get the quality of the mechanical assembly out of specification limits. 20–22 In order to control the variation propagation in the assembly, Yang et al 23 developed the straight-build assembly model for variation propagation control in an aero-engine assembly and used a transform matrix model to analyze variation propagation process. Wang et al 24 proposed a stack-build assembly technique and analyzed the location and orientation tolerances propagation process in the assembly, and the cumulative eccentric deviation can be minimized by controlling the assembly angle of component.…”

Section: Introductionmentioning

confidence: 99%

A method to control the amount of unbalance propagation in precise cylindrical components assembly

Sun

Liu

et al. 2019

Proceedings of the Institution of Mechanical Engineers, Part B:

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The article provides a novel method to control the amount of unbalance propagation in precise cylindrical components assembly, which takes the machining error, the measurement error, and the assembly error into account. The coefficient and the correction factor matrices of mass eccentric deviations are defined to analyze the amount of unbalance propagation by building the connective assembly model. The influence of the machining error, the measurement error, and the assembly error on the mass center is analyzed in the assembly. The cumulative mass eccentric deviation can be reduced stage by stage in the assembly, and the amount of unbalance of final assembly can be minimized by controlling the assembly angle of each component. The effectiveness of the proposed method is verified by the assembly of the real aero-engine using the optimal assembly strategy. Compared to the worst assembly strategy, the values of the amount of unbalance using the optimal assembly strategy are reduced by 20%, 76%, and 79% for two, three, and four components assembly, respectively. Besides, the reasonable tolerance design area for each component is obtained with the proposed method for the real aero-engine assembly with four components. The proposed method can improve the assembly accuracy of cylindrical components and can be used for assembly guidance and tolerance design, especially for the assembly of multistage precise cylindrical components.

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Geometric error reduction in the assembly of axi-symmetric rigid components: a two-dimensional case study

Cited by 17 publications

References 29 publications

An Unbalance Optimization Method for a Multi-Stage Rotor Based on an Assembly Error Propagation Model

An Unbalance Optimization Method for a Multi-Stage Rotor Based on an Assembly Error Propagation Model

An improved Jacobian-Torsor model for statistical variation solution in aero-engine rotors assembly

A method to control the amount of unbalance propagation in precise cylindrical components assembly

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