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首页> 外文期刊>Composites Part A: Applied Science and Manufacturing. >A predictive model for ultrasonic attenuation coefficient in particulate composites
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A predictive model for ultrasonic attenuation coefficient in particulate composites

机译:颗粒复合材料超声衰减系数的预测模型

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The increasing use of particulate composites in various weight sensitive applications such as aerospace and marine industries requires strict quality assurance methods. Non-destructive evaluation techniques such as ultrasound are currently used for characterization of these materials. Attenuation coefficient is one of the important parameters required for characterizing materials using ultrasound. Incorrect attenuation coefficient may lead to misdiagnosis of structures that could cause potential disaster. The present study focuses on developing a model for predicting the pulse-echo ultrasonic attenuation coefficient in particulate composites that takes into account the effect of particle size, porosity, and radius ratio. Attenuation loss from absorption, scattering, and resonance of glass particles is incorporated in the model. Interaction between the particles is neglected and the scattered energy is assumed to be entirely lost. Attenuation coefficient predicted from the model is compared with Yamakawa's model and experiment.
机译:颗粒复合材料在各种对重量敏感的应用(例如航空航天和海洋工业)中的使用越来越多,这需要严格的质量保证方法。目前,无损评估技术(例如超声)已用于表征这些材料。衰减系数是使用超声表征材料所需的重要参数之一。不正确的衰减系数可能会导致对结构的错误诊断,从而可能导致潜在的灾难。本研究的重点是开发一种模型,用于预测颗粒复合材料中的脉冲回波超声衰减系数,该模型考虑了粒径,孔隙率和半径比的影响。模型吸收了由于玻璃粒子的吸收,散射和共振引起的衰减损耗。忽略了粒子之间的相互作用,并且假定散射的能量完全丢失了。将模型预测的衰减系数与Yamakawa的模型和实验进行比较。

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