The hollow blade has better heat dissipation and flow diversion effect than the solid blade, and the weight is lighter. In traditional manual detection, there will be a large deviation of the measurement normal direction, which leads to a large measurement error and poor repeatability. In this paper, an ultrasonic detection method based on the reconstruction algorithm of Poisson surface is proposed to detect and measure the thickness of hollow blade wall. The measurement results have advantages and effectiveness in terms of accuracy. The measurement errors of X, Y and Z axes are all less than 0.003mm, which meets the measurement accuracy requirements. The error on the z-axis is almost always less than 1 μm. The machining pass rate of hollow blades is increased from 92% to 100%, and the measurement efficiency is increased by more than 12 times.
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Liang et al. (2024) studied this question.
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