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Monitoring of resin flow front and degree of cure in vacuum-assisted resin infusion process using multifunctional piezoelectric sensor network

机译:使用多功能压电传感器网络监测真空辅助树脂输注过程中的树脂流动前沿和固化程度

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Vacuum assisted resin infusion (VARI) has attracted more and more attentions in the aerospace field and the monitoring of the process variables has been one of the milestones for most aerospace companies. This study focuses on monitoring the flow front and curing degree of the resin in-suit using a piezoelectric (PZT) sensor network. In the resin transfer stage, the propagation characteristics of Lamb waves were extracted from different paths to characterize the resin flow front, and the quadratic regression models of three variables were established. In the resin cure stage, the leaky Lamb waves and electromechanical impedance based on PZT sensors were simultaneously adopted to monitor the degree of cure of the resin globally and locally, respectively. The differential scanning calorimeter analysis was carried to see the compatibility among different methods for the curing degree. Experimental results demonstrated that it was feasible to monitor the flow front and curing degree of resin in VARI process using Lamb waves and electromechanical impedance based on a multifunctional piezoelectric sensor network.
机译:真空辅助树脂灌注(VARI)在航空航天领域引起了越来越多的关注,过程变量的监测已成为大多数航空航天公司的里程碑之一。本研究的重点是使用压电(PZT)传感器网络监测西服中树脂的流动前沿和固化程度。在树脂传递阶段,从不同路径提取兰姆波的传播特征来表征树脂流动前沿,并建立了三个变量的二次回归模型。在树脂固化阶段,同时采用泄漏兰姆波和基于PZT传感器的机电阻抗,分别在全局和局部监测树脂的固化程度。采用差示扫描量热仪分析了不同方法对固化度的适应性。实验结果表明,基于多功能压电传感器网络,利用兰姆波和机电阻抗监测树脂在VARI过程中的流动前沿和固化程度是可行的。

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