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ELECTRICAL ACTUATION AND VISION-BASED CONTROL OF SHAPE MEMORY POLYMER CARBON NANOCOMPOSITES

机译:形状记忆聚合物碳纳米复合材料的电致动和基于视觉的控制

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Shape memory polymers (SMPs) are one of the most popular smart materials due to their fantasticproperties and greatly potential application in recent years. This paper presents a study on thesynergistic effect of carbon nanofiber (CNF) and carbon nanofiber paper (CNFP) on shape memorypolymer (SMP) nanocomposites actuation by applying electric current. Shape memory effect hasbeen greatly improved due to the significant increase of electrical conductivity by combining CNFand CNFP into SMP composites. CNFP is used to facilitate the actuation by electrical resistanceheating. In order to accelerate the electro-active response, the bulk thermal and electricalconductivity of SMP nanocomposite is increased by mixing CNFs with SMP. A vision based 3Dcoordinate prediction system is designed to sense and controls the deformation of the SMPcomposites with current and voltage applied. Compared with baseline material, the recovery speed ofSMP nanocomposites is increased up to 1,000%. In order to investigate the themomechanicalproperty of SMP composite, Dynamic Mechanical Analysis (DMA) test has been carried out as well.Furthermore, the control tests of SMP nanocomposites show that they had a reasonably fast responseof ~90 seconds. In the conducted 100 experiments and the desired deflection angle can be achievedwithin a 5% error bound.
机译:形状记忆聚合物(SMP)由于其出色的性能而成为最受欢迎的智能材料之一 的特性和近年来巨大的潜在应用。本文提出了对 碳纳米纤维(CNF)和碳纳米纤维纸(CNFP)对形状记忆的协同效应 聚合物(SMP)纳米复合材料通过施加电流来驱动。形状记忆效果有 通过结合CNF大大提高了电导率,因此得到了极大的改善 和CNFP制成SMP复合材料。 CNFP用于通过电阻促动 加热。为了加速电激活响应,大量的热和电 通过将CNF与SMP混合,可以提高SMP纳米复合材料的电导率。基于视觉的3D 坐标预测系统旨在检测和控制SMP的变形 施加电流和电压的复合材料。与基线材料相比,恢复速度为 SMP纳米复合材料增加了高达1000%。为了研究它们的力学 SMP复合材料的性能,还进行了动态力学分析(DMA)测试。 此外,SMP纳米复合材料的对照测试表明它们具有相当快的响应 约90秒。在进行的100次实验中,可以实现所需的偏转角 在5%的误差范围内。

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