Five-point cylindricity error separation technique

Measurement ◽  
2019 ◽  
Vol 145 ◽  
pp. 311-322 ◽  
Author(s):  
Wenwen Liu ◽  
JunSen Fu ◽  
Biao Wang ◽  
Shanlin Liu
Keyword(s):  
Separation Technique ◽  
Error Separation ◽  
Cylindricity Error

Application of Error Separation Technique on the Virtual Detector of Gear Error

2012 ◽  
Vol 538-541 ◽  
pp. 3038-3042 ◽  
Author(s):  
Min Cui ◽  
Wei Yi Deng
Keyword(s):  
Systematic Error ◽  
Personal Computer ◽  
Virtual Instrument ◽  
Radial Component ◽  
Separation Technique ◽  
System Software ◽  
Error Separation ◽  
The Core ◽  
Instrument Technology ◽  
Gear Rolling

On the foundation of conventional double-flank gear rolling tester, a virtual detector of gear error taking personal computer as the core is developed with the use of virtual instrument technology. Systematic error is analyzed through error separation technique. The structure of the detecting system , the design of the system software based on LabVIEW, and the separation of different radial component deviations of gear are presented.

scholarly journals Comparison of Current Five-Point Cylindricity Error Separation Techniques

2018 ◽  
Vol 8 (10) ◽  
pp. 1946 ◽  
Author(s):  
Wenwen Liu ◽  
Penghao Hu ◽  
Kuangchao Fan
Keyword(s):  
Industrial Applications ◽  
In Situ Measurement ◽  
Reconstruction Method ◽  
Separation Techniques ◽  
Actual Measurement ◽  
Error Separation ◽  
Advantages And Disadvantages ◽  
Cylindricity Error ◽  
Cylindrical Profile

Cylindricity is a kind of three-dimensional form distortion of a cylinder. An accurate in situ measurement of cylindricity is relatively complex because measuring and reconstructing cylindrical profile and evaluating out-of-cylindricity should be involved. Any method of in situ measuring cylindricity must solve a common issue, i.e., to eliminate spindle error motions and carriage error motions during measurement and reconstruction. Thus, error separation techniques have played an important role in in situ cylindricity measurement through multipoint detections. Although several valuable five-point methods for in situ measurement of cylindrical profile have been proposed up to present, namely the parallel scan, spiral scan, and V-block scan, there are obvious differences in many aspects, such as the arrangement of probes, error separation model, reconstruction method, adaptability to service environment, accuracy and reliability in practical application, etc. This paper presents the evaluation of their advantages and disadvantages in theory and the actual measurement based on the standard ISO 12180. Suggestions for best meeting the requirements of modern manufacturing and the most prospective one for industrial applications are also given.

Optimum Error Separation Technique for In-Situ Straightness Measurement in Diamond Turning

2000 ◽  
Author(s):  
Jianming Yu ◽  
C. James Li
Keyword(s):  
Sampling Interval ◽  
Diamond Turning ◽  
New Method ◽  
Separation Technique ◽  
Error Separation ◽  
Periodic Effect ◽  
The One ◽  
In Situ Metrology ◽  
Metrology System

Abstract In diamond turning, measurement of a workpiece without removing it from the machine tool needs an in-situ metrology system and an error separation technique. The traditional methods for error separation have their limitation in straightness measurement. In this paper, a thorough analysis is given for the non-periodic effect on error separation, and a new method is described to overcome the limitation in straightness measurement for short workpiece. The new method enables the use of a sampling interval smaller than the one permitted by the traditional techniques and gives more detailed information about the measured workpiece profile. Consequently, it is suitable for the in-situ measurements of short workpieces in diamond turning.

Full-harmonic error separation technique

1992 ◽  
Vol 3 (12) ◽  
pp. 1129-1132 ◽  
Author(s):  
Cao Linxiang ◽  
Wang Hong ◽  
Li Xiongua ◽  
Shen Qinghong
Keyword(s):  
Separation Technique ◽  
Error Separation

A New Method for Measuring Straightness and Yawing Motion Errors of a Linear Slide

2005 ◽  
Vol 128 (2) ◽  
pp. 503-512 ◽  
Author(s):  
Eric H. K. Fung
Keyword(s):  
Uncertainty Analysis ◽  
Frequency Domain ◽  
Measurement Method ◽  
Spatial Domain ◽  
Separation Technique ◽  
Profile Measurement ◽  
Motion Error ◽  
Sensor Reading ◽  
Error Separation ◽  
Linear Slide

In this paper, an on-machine Fourier five-sensor (F5S) measurement method is developed using Fourier series and sensor integration techniques to determine the straightness and yawing motion errors of a linear slide. The profile of the slide is also determined in this error separation technique. The method is an extension of the previous Fourier three-sensor (F3S) method (Fung, E. H. K., and Yang, S. M., 2000, “An Error Separation Technique for Measuring Straightness Motion Error of a Linear Slide,” Meas. Sci. Technol., 11, pp. 1515–1521; Yang, S. M., Fung, E. H. K., and Chiu, W. M., 2002, “Uncertainty Analysis of On-Machine Motion and Profile Measurement With Sensor Reading Errors,” Meas. Sci. Technol., 13, pp. 1937–1945) by including the effects of yawing error in the straightness motion error and profile measurements. The principles and operation of the F5S measurement method are described. The uncertainty analysis of the method in the presence of a sensor reading error is studied both in the frequency domain and the spatial domain. The spatial domain parameter is first optimized to yield the 12 possible sensor configurations and the final configuration is chosen based on the frequency domain parameter values. The method is evaluated by computer simulation where the simulated sensor outputs are derived from the predefined profile, straightness, and yawing motion errors. By comparing the calculated results with the input data, the F5S method is found to be superior to the F3S method as far as accuracy is concerned. The results reported in this simulation study not only confirm the feasibility of the F5S method but also encourage the author to perform an experimental study in the near future.

Error separation technique for microlithographic lens testing with null configurations

2001 ◽  
Author(s):  
Stephen K. Mack ◽  
Timothy Rich ◽  
James E. Webb ◽  
Paul G. Dewa ◽  
Horst Schreiber
Keyword(s):  
Separation Technique ◽  
Error Separation ◽  
Microlithographic Lens ◽  
Lens Testing
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