On a new method of roundness measurement based on the sequential-three-points method.

Obi, Makoto; Kobayashi, Takashi; Furukawa, Shinya

doi:10.1299/kikaic.54.2475

Cited by 7 publications

(2 citation statements)

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“…The three-probe sequential method (Obi et al, 1988;Obi and Kobayashi 1992;Kiyono 1996, 1997) is similar to the three-probe fast Fourier transform (FFT) method in that we use three probes to acquire data that is later used to separate the spindle error from part form error. In fact, the defining equations are identical to that in Sect.…”

Section: Three-probe Sequential Methodsmentioning

confidence: 99%

Computational Surface and Roundness Metrology

Muralikrishnan¹,

Raja²

2009

114

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Section: Three-probe Sequential Methodsmentioning

confidence: 99%

Computational Surface and Roundness Metrology

Muralikrishnan¹,

Raja²

2009

114

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“…erefore, the influence of the probe mounting angles has widely been investigated. Obi et al systematically demonstrated a sequential three-probe method and investigated the relevance of the measurement angle and coefficient of roundness, in addition to analyzing the characteristics and measurement errors of various angle combinations [9]. Similarly, Okuyama et al demonstrated high-accuracy radial motion measurements using the three-probe method, along with a weighting equation and inverse filtering [10,11].…”

Section: Introductionmentioning

confidence: 99%

Online Prediction of Milling Inner Hole Roundness Error Based on Accurate SSEM Value Extraction

Jiang

Mei

et al. 2019

Shock and Vibration

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To improve the machining accuracy and production efficiency of precision components with deep hole structures, an online prediction method of the inner hole roundness error, which cannot be directly measured in real time during the machining process, is proposed in this paper. For online prediction of the workpiece roundness error (WRE) during machining, a predictive model based on correlation analysis and a proportional method is proposed according to the spindle synchronous error motion (SSEM) by three-probe method testing. To improve the prediction accuracy of the WRE, a particle swarm optimization (PSO) algorithm is introduced for optimizing a probe mounting angle of a three-probe method, and a harmonic wavelet method for SSEM feature extraction is proposed. Using the PSO algorithm, the optimal probe mounting angle of the three-probe method is obtained, the influence of spindle surface roundness on SSEM is eliminated, and the higher-order harmonic suppression of the three-probe method is avoided effectively. By the harmonic wavelet method, the accurate SSEM extraction is enhanced and the WRE prediction accuracy is promoted. The experiments show that the inner hole roundness error online prediction method proposed in this paper has high prediction accuracy.

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Error Separation Techniques in Roundness Metrology

Computational Surface and Roundness Metrology

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On a new method of roundness measurement based on the sequential-three-points method.

Cited by 7 publications

References 0 publications

Computational Surface and Roundness Metrology

Computational Surface and Roundness Metrology

Online Prediction of Milling Inner Hole Roundness Error Based on Accurate SSEM Value Extraction

Error Separation Techniques in Roundness Metrology

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