Sichuan University

Zongping Wang

Ming Yin

Haohao Liu

Guofu Yin

Luofeng Xie

Dengying Ou

Haotian Zheng

The present disclosure provides a method for calibrating a rotation center based on a blade local leading-edge curve feature. The method acquires a blade local leading-edge curve feature before and after rotation, solves centroid coordinates according to maximum values in the blade local leading-edge curve features in the two times, and then solves a rotation center according to the centroid coordinates, thereby calibrating a coordinate of the rotation center. Compared with a point calibration method in the prior art, the present disclosure has a more accurate result by curve calibration and is more suitable for a real rotation center; and the method also has a more accurate blade measurement result when applied to measuring a blade cross-section curve feature.

Method for calibrating rotation center based on blade local leading-edge curve feature

The present disclosure provides a method for measuring a blade cross-section profile based on a line structured-light sensor at a high precision, including: (10) pose calibration on a line structured-light sensor; (20) calibration on a rotation axis: calibrating the rotation axis with a lateral datum plane of a blade; and (30) cross-section profile measurement on a target measured blade: establishing a global coordinate system, and converting blade cross-section curve feature data acquired by a data coordinate system to the coordinate system for splicing, thereby measuring a blade cross-section profile. The present disclosure reduces the error arising from transfer of calibration objects, reduces the rotation error because it does not involve the rotation angle of the turntable when calibrating the rotation axis and the rotation center, and reduces the translational error of the line structured-light sensor as positions for rotating the line structured-light sensor in two times are unchanged.

Method for measuring blade cross-section profile based on line structured-light sensor at high precision

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Chengdu, China

Zongping Wang