Paper
31 December 2008 A method of optical non-contact measurement to rotary part's profile
Yan Shang, Chunguang Xu, Dingguo Xiao, Fanwu Meng
Author Affiliations +
Proceedings Volume 7130, Fourth International Symposium on Precision Mechanical Measurements; 713055 (2008) https://doi.org/10.1117/12.819745
Event: Fourth International Symposium on Precision Mechanical Measurements, 2008, Anhui, China
Abstract
The research on the technology of non-contact measurement of rotary part's profile has important academic significance and practicability for improving the rotary part's manufacture precision. In this paper, a method of non-contact measurement to rotary part's profile is studied. This method can be used to measure rotary parts more efficiently and accurately. In order to measure the rotary part's profile continuously, a laser beam-blocking method is presented. One or two laser beam-blocking sensors are used. The part that be measured is placed between the sensor's emitter and receiver. The part will block some laser beam. From the sensor, the diameter in a certain section of the part can be got directly. In order to eliminate the influence brought by the part's position error, we should obtain the axes equation and contour line equations through curve fitting. Then we get the real surface size through coordinate transformation. In this paper, genetic algorithm is used to fit the contour line equations and the axes equation in order to improve the speed and precision of data processing. The experiments results show that the scheme presented in the paper is feasible, and the data processing method is correct.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yan Shang, Chunguang Xu, Dingguo Xiao, and Fanwu Meng "A method of optical non-contact measurement to rotary part's profile", Proc. SPIE 7130, Fourth International Symposium on Precision Mechanical Measurements, 713055 (31 December 2008); https://doi.org/10.1117/12.819745
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Sensors

Genetic algorithms

Data processing

Optical testing

Receivers

Manufacturing

Control systems

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