Characterization of Porosity in Quartz Composites Based on Ultrasonic Frequency Domain Parameters
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TB559;TB551

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    Abstract:

    The porosity had a great influence on the properties of the composites. To solve the problem that ultrasound could not well characterize high porosity composite materials,the characteristics and nonlinear characteristics of ultrasonic power spectrum were applied to characterize porosity of high porosity quartz phenolic composites, which is the effect of pores on the attenuation of fundamental amplitude and the breeding of harmonic amplitude in frequency domain. The results show that both methods can effectively characterize the pore content of high porosity composites. It is easy to measure the ultrasonic power spectral characteristic parameters based on the fundamental analysis in frequency domain, and it decreases with the increase of pore, which has some advantages when the porosity is low. The second order nonlinear characteristic parameters of the ultrasonic wave based on harmonic analysis are increasing with the increase of porosity, which is more advantageous to the high porosity characterization.

    Reference
    [1] 李杰, 许斌, 冯志海.2.5D石英/酚醛复合材料的性能研究[J].宇航材料工艺, 2002, 32(1):35-37.
    [2] 尹昌平, 肖加余, 李建伟, 等.RTM成型石英/苯并噁嗪复合材料的孔隙率研究[J]. 航空材料学报, 2010, 30(2):82-88.
    [3] 杨辰龙, 周晓军.碳纤维复合材料孔隙率便携式超声无损检测系统研制[J]. 传感技术学报, 2007, 20(6):1283-1285.
    [4] 李钊. 碳纤维复合材料孔隙率超声检测与评价技术研究[D].浙江大学, 2014.
    [5] STONE D E W,CLARKE B.Ultrasonic attenuation as a measure of void content in carbon-fibre reinforced plastics[J]. Non-Destructive Testing, 1975, 8(3):137-145.
    [6] MARTIN B G. Ultrasonic attenuation due to voids in fibre-reinforced plastics[J]. Ndt. International,1976,9(5):242-246.
    [7] 肖鹏, 刘卫平, 刘奎. 复合材料孔隙率超声衰减法检测技术研究进展及应用[J]. 航空制造技术, 2016, 499(4):48-51.
    [8] 林莉, 罗明, 郭广平, 等.碳纤维复合材料孔隙率超声声阻抗法检测[J].复合材料学报, 2009, 26(3):105-110.
    [9] 祝婧.基于非线性超声的RTM/纺织复合材料孔隙评价研究[D].南昌航空大学, 2014.
    [10] LIANG B, IWNICKI S D, ZHAO Y.Application of power spectrum,cepstrum,higher order spectrum and neural network analyses for induction motor fault diagnosis[J].Mechanical Systems & Signal Processing, 2013, 39(1/2):342-360.
    [11] 张雅静, 林莉, 李喜孟.超声功率谱特征参数在复合材料孔隙率检测中的应用[J].理化检验(物理分册), 2010, 46(3):159-163+170.
    [12] 丛玉良, 王宏志. 数字信号处理原理及其MATLAB实现[M].北京:电子工业出版社,2005.
    [13] 林娜.RTM/纺织复合材料微缺非线性评价方法研究[D].南昌航空大学, 2013.
    [14] 黄英.玻璃纤维层合板孔隙率的测定研究[J].玻璃纤维, 2012(6):10-12.
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History
  • Received:March 14,2018
  • Online: January 15,2019
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