Simulation and monitoring of the infusion of thick composites with thermoplastic acrylic resin

N. Siddig
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Abstract

Abstract. The ZEBRA project aims to advance the circular economy by creating wind turbine blades that can be completely recycled. Currently, Wind turbine blades are fabricated through Vacuum-Assisted Resin Infusion (VARI) using thermoset resins. In this endeavor, the recyclable thermoplastic resin Elium® from Arkema is utilized as a sustainable alternative to traditional thermoset resins. The production of thick and sizable components using reactive resins presents various intertwined physical aspects and difficulties, notably concerning potential overheating during the Elium® radical polymerization process. The optimization of this process necessitates the use of simulation to save the expensive time and effort caused by the experiments. However, to be reliable, these numerical methods must be validated to allow accurate predictions for potential defects with thick and complex parts. The challenge lies in flow front detection in the through-thickness direction. In this work, infusion tests were conducted for thick parts in a testing bench instrumented with a robust monitoring system. QRS sensors are placed through the part thickness to detect the front arrival instantaneously. The simulations are compared and validated to the signals of the QRS sensors for validation. Then the model was used to predict the flow behavior for more complex parts. A 3D flow is observed by the differences in permeability between the flow medium and the fabric, which induces a high difference in resin arrival times to the sensors depending on the position of sensors through the part thickness. The flow simulations showed a good approximation of the experimental results. However, deviations are observed in the flow front position, caused by the disturbance induced by the presence of the sensors.
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模拟和监测热塑性丙烯酸树脂厚复合材料的灌注过程
摘要ZEBRA 项目旨在通过制造可完全回收利用的风力涡轮机叶片来推动循环经济的发展。目前,风力涡轮机叶片是使用热固性树脂通过真空辅助树脂灌注(VARI)制造的。在此过程中,阿科玛公司生产的可回收热塑性树脂 Elium® 被用作传统热固性树脂的可持续替代品。使用反应性树脂生产又厚又大的部件会遇到各种相互交织的物理问题和困难,尤其是在 Elium® 自由基聚合过程中可能出现的过热问题。要优化这一过程,就必须使用仿真技术,以节省实验所需的昂贵时间和精力。但是,这些数值方法必须经过验证,才能准确预测厚而复杂的部件可能存在的缺陷。挑战在于厚度方向的流动前沿检测。在这项工作中,在装有强大监测系统的测试台上对厚部件进行了导流测试。QRS 传感器穿过零件厚度,可瞬时检测前沿的到达。模拟结果与 QRS 传感器的信号进行了比较和验证。然后,模型被用于预测更复杂零件的流动行为。由于流动介质和织物之间的渗透性存在差异,因此可以观察到三维流动,根据传感器在部件厚度上的位置不同,树脂到达传感器的时间也存在很大差异。流动模拟结果与实验结果十分接近。然而,由于传感器的存在造成的干扰,流动前沿位置出现了偏差。
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