scholarly journals Research on the roundness error separation method for precision spindle based on harmonic wavelet de-noise and mathematical statistics method

2019 ◽  
Vol 688 ◽  
pp. 033073
Author(s):  
Shihai Zhang
Keyword(s):  
Separation Method ◽  
Mathematical Statistics ◽  
Roundness Error ◽  
Error Separation ◽  
Harmonic Wavelet

Easy measuring instrument for analyzing the radial and tilt error motions of a rotating shaft

2017 ◽  
Vol 231 (2) ◽  
pp. 667-674 ◽  
Author(s):  
Dong-Hyeok Lee ◽  
Wi-Ro Lee
Keyword(s):  
Real Time ◽  
Measurement System ◽  
Probe Method ◽  
Separation Method ◽  
Rotating Shaft ◽  
Error Separation ◽  
Real Time Measurement ◽  
Rotary Stage ◽  
Tilt Error ◽  
Error Motion

In this study, a real-time measurement system to easily apply multi-probe error separation method for error motion measurement of a shaft was designed and developed. An arrangement condition of sensing probes for accurate multi-probe error separation method was examined and verified by a simulation test. By following the examined arrangement condition for multi-probe method, a measurement system to measure radial and tilt error motions of a shaft was designed and developed. The efficiency of the multi-probe method with the examined arrangement condition was checked by comparing the error motion results for a rotary stage with the error motions in the specifications of the guarantee. It is expected to apply this system to a real-time monitoring system of failure diagnosis for rotating shafts in ships and plants.

An error separation method based on surface matching in large aspheric measurement

2019 ◽  
Vol 15 (4) ◽  
pp. 355
Author(s):  
Lin Sun ◽  
Shuming Yang ◽  
Pengfei Wu ◽  
Changsheng Li ◽  
Qijing Lin ◽  
...  
Keyword(s):  
Separation Method ◽  
Surface Matching ◽  
Error Separation

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

2019 ◽  
Vol 2019 ◽  
pp. 1-16
Author(s):  
Zhenbang Hu ◽  
Gedong Jiang ◽  
Xuesong Mei ◽  
Xialun Yun ◽  
Yun Zhang
Keyword(s):  
Prediction Accuracy ◽  
Prediction Method ◽  
Pso Algorithm ◽  
Probe Method ◽  
Machining Process ◽  
Machining Accuracy ◽  
Wavelet Method ◽  
Roundness Error ◽  
Harmonic Wavelet ◽  
Online Prediction

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.

High-accuracy roundness measurement by a new error separation method

1997 ◽  
Vol 21 (2-3) ◽  
pp. 123-133 ◽  
Author(s):  
Wei Gao ◽  
Satoshi Kiyono ◽  
Takamitu Sugawara
Keyword(s):  
High Accuracy ◽  
Separation Method ◽  
Error Separation ◽  
Roundness Measurement
Sign in / Sign up

Export Citation Format

Share Document