基于超聲信號(hào)的無(wú)機(jī)粒子高填充聚合物分散狀態(tài)表征研究
[Abstract]:Inorganic particle filling modification is an important method for the development of new polymer-based materials. Whether the modified composites can achieve the desired results is mainly affected by the dispersion of the filled particles. Therefore, it is very important to measure and characterize the dispersed state of filled particles in composites. The ultrasonic measurement signal is sensitive to the microstructure of the material. In addition, the ultrasonic wave has the characteristics of nondestructive and real-time, so it is very suitable for the characterization of particle filled composites. By studying the quantitative relationship between ultrasonic testing signal and dispersed state of filled particles, optimizing and improving the suitable characterization model, expanding the application of ultrasonic detection technology in polymer filled modified materials, forming a kind of fast, It is of great practical value and scientific significance to characterize the dispersion of filled particles. Compared with the velocity of sound, the relationship between the attenuation coefficient and the microstructure of the filled system is more significant. After comparing the different theoretical models describing the attenuation of ultrasonic wave propagation in the composite system, the differential model is selected as the object of study, and the experimental verification is carried out. By changing the volume fraction of the particles filled in the polymer matrix (610%), the particle size (70 渭 m 160 渭 m) and the distribution (single peak distribution, double peak distribution), etc., Composite samples with different dispersion states were obtained. In this paper, ultrasonic wave echo method is used to detect the samples. The acoustic attenuation coefficient of different samples at different frequencies is analyzed by spectrum analysis method, and the acoustic attenuation coefficients at different frequencies are obtained. The experimental results are compared with the calculated values of the differential model to verify the applicability of the model. The results show that: (1) the larger the particle size, the larger the sound attenuation coefficient and the smaller the sound velocity for the particle filled composites with single peak particle size distribution; With the increase of volume fraction, the sound attenuation coefficient first increases and then decreases, while the sound velocity increases. Comparing the experimental acoustic attenuation coefficient with the differential model, the results of the two models are still in good agreement with each other when the packing volume fraction reaches 50. It is proved that the differential model is suitable for different contents. (2) for the composite with bimodal particle size distribution, the larger the particle volume fraction is, the higher the sound attenuation coefficient is and the smaller the sound velocity is. When the particle size distribution is the same, the sound attenuation coefficient increases first and then decreases with the increase of volume fraction, while the sound velocity increases. By modifying the differential model, the acoustic attenuation coefficient can be regarded as the linear sum of the sound attenuation coefficients of the two components, and compared with the experimental results, the results are still in good agreement with each other when the packing volume fraction reaches 30%. It is proved that the modified differential model is suitable for high filling composites with bimodal particle size distribution, which extends the scope of application of the original model.
【學(xué)位授予單位】:華南理工大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2015
【分類號(hào)】:TB33
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