基于CR技术的铝蜂窝夹层板内部积水评估

利用射线数字成像（CR）技术评估铝蜂窝复合夹层板中的积水程度，通过评价铝蜂窝板样品的数字图像质量指标来优化曝光参数，对在最佳曝光条件下采集的不同积水层高度的铝蜂窝复合板数字图像中积水区灰度进行测量。结果表明:最佳曝光参数为管电压80 kV、曝光量3 mA?35 s；积水区的灰度值与积水层高度存在显著的线性相关性，利用拟合的线性方程计算的积水层高度与实际值误差小于5%，从而验证CR测量复合材料铝蜂窝夹层板积水程度的可行性。

Assessment of Water Accumulation in Aluminum Honeycomb Sandwich Panel Based on CR Technology

This paper proposes a methodology to assess water accumulation in the aluminum honeycomb sandwich panel based on the CR imaging system. According to the digital image quality of aluminum honeycomb sandwich panel, the exposure parameters were optimized. Then, the gray scales of the water-logged zones were measured in the digital image of aluminum honeycomb panel with different water volume conditional on the optimal exposure parameters. The result revealed that under the optimal exposure parameters of 80 kV and 3 mA?35 s, there was a significant linear correlation between the mean gray value of the water-logged zone and the height of aquifer. And with the fitting linear equation to calculate the height of aquifer, the errors were within 5% by comparing with the actual value, which verified the feasibility of assessment the water accumulation in composite aluminum honeycomb sandwich panel by CR.