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COMPARISON OF SIGNAL FILTERING TECHNIQUES FOR ULTRASONIC WAVES USED IN INSPECTION OF COMPOSITE MATERIALS

机译:用于复合材料检查的超声波波信号过滤技术的比较

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The use of composite materials is growing worldwide as the number of its applications. Regarding the quality of components made from composites especially in fields that require high safety standards, such as aerospace, reliable inspection techniques must be used. Nondestructive inspection techniques using ultrasonic waves are largely employed in metals for fault detection, characterization, and stress measurement and they are also being applied in composites. However, composites are heterogeneous in nature and thus the signals acquired from ultrasonic transducers in these materials exhibit high noise, leading to inaccurate measurements. The objective of this work is to evaluate digital filtering techniques for signals from ultrasonic longitudinal bulk waves and longitudinal critically refracted (L_(CR)) waves propagating in a carbon fiber-epoxy prepreg. Samples of unidirectional composites were manufactured to study the signals of waves propagating at different angles in relation to the carbon fibers direction. For bulk waves, we acquired signals at 0, 15, 30, 45, 60, 75 and 90° from the fiber directions; for L_(CR) waves, the signals were measured at 0 and 90°. We compared the techniques based on digital filters IIR (Infinite Impulse Response), FIR (Finite Impulse Response) and Discrete Wavelet Transform (DWT). The results show that the filters FIR and IIR have the best signal-to-noise ratio (SNR) for most propagation directions, both for bulk and L_(CR) waves.
机译:随着其应用数量的增加,复合材料的使用在全球范围内正在增长。关于由复合材料制成的组件的质量,特别是在要求高安全标准的领域(例如航空航天)中,必须使用可靠的检查技术。使用超声波的非破坏性检查技术广泛用于金属中以进行故障检测,表征和应力测量,并且它们还用于复合材料中。但是,复合材料本质上是异质的,因此从这些材料中的超声换能器获取的信号会表现出高噪声,从而导致测量结果不准确。这项工作的目的是评估在碳纤维环氧树脂预浸料中传播的超声纵向体波和纵向临界折射(L_(CR))波信号的数字滤波技术。制造了单向复合材料样品,以研究相对于碳纤维方向以不同角度传播的波的信号。对于体波,我们从光纤方向获取了0、15、30、45、60、75和90°的信号;对于L_(CR)波,在0°和90°处测量信号。我们比较了基于数字滤波器IIR(无限脉冲响应),FIR(有限脉冲响应)和离散小波变换(DWT)的技术。结果表明,对于体波和L_(CR)波,滤波器FIR和IIR在大多数传播方向上均具有最佳的信噪比(SNR)。

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