论文部分内容阅读
针对超声衰减系数法检测碳纤维增强复合材料(Carbon Fibre Reinforced Plastics,CFRP)孔隙率易受孔隙形貌影响,导致检测结果重复性差、分散性强的问题,为充分考虑随机形貌孔隙对声波的综合作用,本研究在CFRP连续切片的基础上,建立了孔隙率P在0.58%~2.50%之间的真实形貌孔隙模型(Real Morphology Void Model,RMVM),并以无孔隙模型计算得到的底面回波作为参考波形,引入波形相关性分析对不同孔隙率下模型的底面回波进行分析,得到孔隙率P与相关系数r的关系。结果显示:相关系数r整体趋势随P增加而减小,r随孔隙率P变化的数据点呈带状分布,即同一孔隙率下相关系数值存在分散性,且孔隙率越大分散性越显著。本研究可为解释孔隙复杂形貌影响CFRP孔隙率超声检测结果的现象提供依据和参考。
According to the ultrasonic attenuation coefficient method, the porosity of CFRP is easily affected by the pore morphology, which leads to the poor repeatability and dispersivity of the test results. In order to fully consider the synthesis of random pores with sound waves, In this study, based on the CFRP serial sections, the Real Morphology Void Model (RMVM) with the porosity P between 0.58% and 2.50% was established and the bottom surface calculated by the non-porous model Wave as a reference waveform, the waveform correlation analysis is introduced to analyze the bottom echo of the model with different porosities, and the relationship between the porosity P and the correlation coefficient r is obtained. The results show that the overall trend of the correlation coefficient r decreases with the increase of P, and the data points of r vary with the porosity P in the form of zonal distribution, that is, the correlation coefficient has the dispersity in the same porosity, and the greater the porosity, the more dispersive . This study can provide the basis and reference for explaining the phenomenon that the complex morphology of the pores affects the CFRP porosity ultrasonic testing results.