2021
DOI: 10.1007/s00170-021-07397-5
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Modeling and compensation of comprehensive errors for thin-walled parts machining based on on-machine measurement

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Cited by 14 publications
(4 citation statements)
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References 22 publications
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“…In terms of real-time compensation, Zeng et al [16] proposed a position measurement method based on a laser displacement sensor to adjust the spindle position of the machine tool in real time to achieve online compensation of the hole-position error. Du et al [17] proposed a comprehensive errorcompensation method containing three major error sources: geometric error, thermal error, and force error. Deng et al [18] proposed a new method of geometric-error identification using a tracking interferometer that considers the rigid-body motion constraint, which is more robust to random factors and not only improves the identification accuracy but also reduces the maximum angular-positioning error by 84% after compensation.…”
Section: Error-compensation Methods For Workpiece Featuresmentioning
confidence: 99%
“…In terms of real-time compensation, Zeng et al [16] proposed a position measurement method based on a laser displacement sensor to adjust the spindle position of the machine tool in real time to achieve online compensation of the hole-position error. Du et al [17] proposed a comprehensive errorcompensation method containing three major error sources: geometric error, thermal error, and force error. Deng et al [18] proposed a new method of geometric-error identification using a tracking interferometer that considers the rigid-body motion constraint, which is more robust to random factors and not only improves the identification accuracy but also reduces the maximum angular-positioning error by 84% after compensation.…”
Section: Error-compensation Methods For Workpiece Featuresmentioning
confidence: 99%
“…Among them, ij x is the i measurement data in the j group variable. (2) Standardize the sample data and obtain normalization and correlation matrix [4] . The standardized matrix is represented as:…”
Section: Optimization Algorithm Based On Factor Extractionmentioning
confidence: 99%
“…To measure and decrease the rotary axis geometric errors on a five-axis machine tool, a machining test is proposed by Ibaraki et al (Ibaraki, Yoshida, and Asano 2019). To reduce errors during machining operations of thin-walled components, Du et al (Du et al 2021) provided modelling and compensation of comprehensive errors for thinwalled parts based on on-machine measurement methodology. To minimise thermal error and enhance the dimensional accuracy of the workpiece, Nguyen and Feng (Nguyen, Huang, and Feng 2023) proposed the modelling of thermal deformation and real-time error correction of a CNC milling machine in cutting processes.…”
Section: Introductionmentioning
confidence: 99%