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Surface reconstruction accuracy using ultrasonic arrays: Application to non-destructive testing

机译:使用超声阵列的表面重建精度:应用于非破坏性测试

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摘要

The accurate non-destructive inspection of engineering structures using ultrasonic immersion imaging requires a precise representation of the surface of the structure. Here we investigate the relationship between surface geometry, surface measurement error using ultrasonic arrays and the total focusing method (TFM) and how this impacts on the ability to image a feature within a component. Surfaces shaped as sinusoids covering combinations of surface wavelengths (0.8 to 32 lambda(water)) and amplitudes (0.6 to 9 lambda(water)) are studied. The surface reconstruction errors are shown to cause errors in imaging, such as reduced amplitude and blurring of the image of a side-drilled hole. These reconstruction errors are shown to increase rapidly with the maximum gradient of the sinusoid. Sinusoidal surfaces with maximum gradients 45 degrees lead to average surface reconstruction errors lambda(water) and amplitude imaging errors within 6 dB of the flat-surface case. It is also shown that very poor results are obtained if the surface gradient is excessively steep.
机译:使用超声浸没成像的工程结构精确的非破坏性检查需要精确表示结构的表面。在这里,我们研究了使用超声阵列和总关注方法(TFM)之间的表面几何形状,表面测量误差之间的关系以及这对图像在组件内的特征的能力产生影响。研究了覆盖表面波长组合(0.8至32λ(水))和振荡(0.6至9λ(水))的表面。表面重建误差被示出在成像中引起误差,例如侧钻孔的图像的减小和模糊。这些重建误差显示出迅速增加,具有正弦曲线的最大梯度。具有最大梯度的正弦表面& 45度导致平均表面重建误差& λ(水)和平面壳体内6 dB内的幅度成像误差。还示出了如果表面梯度过度陡峭,则获得非常差的结果。

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