Influence of eccentricity and tilt of cylindrical part’s axis on the measurement results of its diameters

Zhao, Zexiang; Li, Bin; Zhang, Guoqing; Yu, Hongxing; Shang, Mengjiao

doi:10.1016/j.measurement.2019.01.085

Cited by 10 publications

(6 citation statements)

References 11 publications

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Section: Influence Of Each Error On Cylindrical Profile Measurementmentioning

confidence: 93%

“…As shown in equations ( 18) and (19), as the height of the measurement section increases, the calculated error increases at the same measurement radius. The relationship between the calculated error and radius is obtained using equation (19). It is indicated that as the radius of the measured cylinder increases, the influence of eccentricity, probe offset and probe radius on the calculated error decrease.…”

Section: Influence Of Each Error On Cylindrical Profile Measurementmentioning

confidence: 93%

“…Based on the above-mentioned cylindricity measuring instruments, numerous scholars have proposed a number of measurement models to reduce the cylindricity evaluation uncertainty [16][17][18][19]. The eccentricity error caused by misalignment between the geometric axis and turntable rotating axis is considered in the Limacon circular profile measurement model, which effectively reduces roundness evaluation uncertainty [20,21].…”

Section: Introductionmentioning

confidence: 99%

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A cylindricity evaluation approach with multi-systematic error for large rotating components

Sun

Liu

et al. 2020

Metrologia

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For reduction of the cylindricity evaluation uncertainty for large rotating components with large radius and height, the cylindrical profile measurement model is designed with multisystematic error considering eccentricity, probe offset, probe radius, geometric axis tilt, support rod tilt, and guide rail tilt. In addition, an error separation method is proposed based on the multi-systematic error measurement model. The combined influence of multisystematic error on the measurement results is analyzed, and cylindricity results are evaluated based on the proposed method. It is verified that, compared with other measurement models, the cylindrical profile measurement model with six systematic errors is the most accurate and stable in the standard cylindrical component measurements using a large high-precision cylindricity measuring instrument. In this experiment, compared with the cylindrical profile measurement model with two systematic errors, the cylindricity evaluation uncertainty obtained by the proposed method reduces from 55.2 µm to 21.0 µm with increasing radius and height of the standard cylindrical component. The proposed method is especially suitable for the cylindrical component measurements with large radius and height. The paper provides an accurate measurement model for high-precision error separation, tolerance allocation and cylindricity comparison for accredited laboratories, national metrology institutes etc.

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Section: Influence Of Each Error On Cylindrical Profile Measurementmentioning

confidence: 93%

Section: Influence Of Each Error On Cylindrical Profile Measurementmentioning

confidence: 93%

Section: Introductionmentioning

confidence: 99%

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A cylindricity evaluation approach with multi-systematic error for large rotating components

Sun

Liu

et al. 2020

Metrologia

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“…According to the definitions of minimum circumscribed diameter and maximum inscribed diameter in Reference [5], the evaluation models of two kinds of global sizes of cylindrical part can be built as follows,…”

Section: B Determination Of the System Error Between Z Axis In Cylinmentioning

confidence: 99%

Study on the measurement of global sizes of cylindrical parts using Talyrond 585LT

Zhao

Liu

et al. 2019

2019 25th International Conference on Automation and Computing (ICAC)

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The measurement method of the global sizes of cylindrical parts based on Talyrond 585LT and the standard ring was proposed. The changing processes from the roundness profiles measured by Talyrond 585LT to the actual roundness profiles was studied for holes and shafts, respectively. The evaluation models of the least-squares diameter, minimum circumscribed diameter, maximum inscribed diameter and minimax diameter of cylindrical parts were given. The roundness profiles of two holes and two shafts were extracted and changed into their corresponding actual roundness profiles. Their global sizes were evaluated, and their measurement uncertainties were analyzed and estimated. The analysis and experiment results showed that the above measuring method can meet the measurement need of the global sizes of cylindrical parts for implementation of ISO 14405-1 in the manufacturing industry.

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“…Dan used the genetic algorithm to optimize the rotor concentricity prediction, and found that optimizing the installation phase of the rotor can improve the rotor assembly quality to some extent [10]. Zhao Z X et al analyzed the effect of eccentricity and tilt error in solving the fitting diameter of the cylindrical profile on the basis of two-parameter measurement model and gave the results under four kinds of cylindrical profiles [11]. For the research of multi-stage rotors stacking assembly method, Sun et al from Harbin Industrial University researched the problem that it is difficult to measure the coaxiality of multi-stage rotors on the basis of aeroengine multi-stage rotors assembly set model, they established the systematic location and orientation error transfer model of multi-stage rotors through the analysis of spatial vector projection characteristics of single-stage rotor location and orientation error during the process of multi-stage rotors assembling.…”

Section: Introductionmentioning

confidence: 99%

A Prediction Model of Multi-stage Rotors Coaxiality Based on Neural Network

Sun

leng

cheng

et al. 2022

Preprint

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For the assembly of multi-stage rotors, this paper proposes the coaxiality predicting model of multi-stage rotors based on neural network. The model takes the complicated operation of centering and tilting during the measurement of single-stage rotor machining error and the indeterminacy of saddle surface error transmission mechanism during the process of multi-stage rotors assembling into consideration. First of all, the paper proposes the depolarization and declination model of single-stage saddle surface rotor based on deep confidence neural network. And then, the single-stage rotor machining error is taken as the input amount into the BP neural network to establish the coaxiality predicting model of multi-stage saddle surface rotors. Finally, experimental measurements of the level-four core engine rotor are performed to verify the accuracy of multi-stage rotors coaxiality prediction model. The result shows that the coaxiality of multi-stage rotors can be effectively predicted by the neural network. The average error of coaxiality prediction is 1.0μm, the standard deviation is 0.7μm, compared to the traditional method, the mean error and standard deviation decreases by 81.8% and 73.1%, respectively, which can reflect the advantages of the coaxiality prediction model of BP neural network.

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Influence of eccentricity and tilt of cylindrical part’s axis on the measurement results of its diameters

Cited by 10 publications

References 11 publications

A cylindricity evaluation approach with multi-systematic error for large rotating components

A cylindricity evaluation approach with multi-systematic error for large rotating components

Study on the measurement of global sizes of cylindrical parts using Talyrond 585LT

A Prediction Model of Multi-stage Rotors Coaxiality Based on Neural Network

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