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An automatic metrology using the laser displacement sensor for the corrugation height of corrugated plate
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Paper Abstract

As one of the main indicators for characterizing the quality of a corrugated plate, the accurate acquisition of corrugation height is great important for guaranteeing the safety operation of heat exchangers. However, the traditional metrologies could not satisfy the measurement requirements of high precision and real-time due to the complex surface morphology of corrugated plate. In this paper, a preliminary study of application of the laser displacement sensor to the automatic on-line measurement of the corrugation height has been verified experimentally. To improve the measurement accuracy and efficiency, the data processing is divided into two parts: the measuring error analysis and the data fitting. An empirical correction model is established on the evaluation test to correct the errors caused by the incident angle at each measurement point. After that, by giving a segmentation to the cross sectional data from the geometrical characteristics of measured plate, the regression models of each interval data are established by the Least Square Method. Finally, the corrugation height of each subsection interval can be estimated from the difference between the minimum and maximum depth of each piecewise regression model. The experimental results demonstrate that our proposed metrology can improve the measuring speed effectively and is suitable to the practical measurement occasion.

Paper Details

Date Published: 18 November 2019
PDF: 9 pages
Proc. SPIE 11189, Optical Metrology and Inspection for Industrial Applications VI, 111891G (18 November 2019); doi: 10.1117/12.2537567
Show Author Affiliations
Chengxing Wu, Huazhong Univ. of Science and Technology (China)
Baijin Chen, Huazhong Univ. of Science and Technology (China)
Chunsheng Ye, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 11189:
Optical Metrology and Inspection for Industrial Applications VI
Sen Han; Toru Yoshizawa; Song Zhang; Benyong Chen, Editor(s)

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