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A novel linear piezoelectric inchworm actuator based on a ratchet mechanism 基于棘轮机构的新型线性压电尺蠖致动器
IF 4.1 3区 材料科学 Q1 INSTRUMENTS & INSTRUMENTATION Pub Date : 2024-08-27 DOI: 10.1088/1361-665x/ad6f82
Yangkun Zhang, Mengze Lao, Yang Yang
A new working principle of inchworm actuator, which converts vibrations of a single piezo actuator into unidirectional step movement of a mover via a ratchet mechanism, was proposed. The proposed working principle has the following priorities: (1) it requires only one piezoelectric actuator which greatly simplifies its driving signals and driving circuits; (2) it can achieve a large driving speed with little compromise of a large force output while maintaining a high positioning precision of piezoelectric actuator and a theoretically unlimited motion range, although it can only achieve unidirectional movement with unidirectional self-locking capability; (3) it could be open-loop controlled with no accumulated step errors. The proposed actuator was designed with compliant mechanism and an analytical model of the design was developed, validated by finite element simulations carried out in Commercial Software ANSYS and used to guide the selection of design parameters. A prototype was fabricated and tested. Experiments show that the proposed actuator achieved a speed larger than 12 mm s−1, a driving load larger than 60 N in the moving direction, a reliable open-loop controllability with no step accumulated errors even under driving load variations of 60 N, and a working range larger than 1 mm with a high positioning precision around 320 nm under closed-loop control, which validated the superiorities of the proposed actuator.
提出了一种新的尺蠖致动器工作原理,通过棘轮机构将单个压电致动器的振动转换为移动器的单向步进运动。所提出的工作原理有以下几个重点:(1)只需一个压电致动器,大大简化了驱动信号和驱动电路;(2)虽然只能实现单向运动,但可以在保持压电致动器高定位精度和理论上无限运动范围的前提下,以较小的折衷大力输出实现较大的驱动速度,并具有单向自锁能力;(3)可实现开环控制,无累积步进误差。拟议的致动器采用顺从式机构设计,并建立了设计分析模型,通过商用软件 ANSYS 进行有限元模拟验证,并用于指导设计参数的选择。原型已制作完成并进行了测试。实验表明,所提出的致动器的速度大于 12 mm s-1,在移动方向上的驱动负载大于 60 N,具有可靠的开环可控性,即使在驱动负载变化为 60 N 的情况下也不会出现阶跃累积误差,而且在闭环控制下,工作范围大于 1 mm,定位精度高达 320 nm 左右,这些都验证了所提出的致动器的优越性。
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引用次数: 0
The rheological behavior of aqueous magnetic fluids over a wide range of shear rates 水基磁性流体在各种剪切速率下的流变行为
IF 4.1 3区 材料科学 Q1 INSTRUMENTS & INSTRUMENTATION Pub Date : 2024-08-27 DOI: 10.1088/1361-665x/ad6f83
Xiaofeng Yan, Xianggang Li, Qianmei Yin, Jingjing Tong, Tao Xie
A rheological measurement system was constructed to investigate the rheological behavior of magnetic fluids under a wide range of shear rates, and its feasibility was verified. The system is capable of measuring a shear rate range spanning five orders of magnitude, with a maximum shear rate of 106 s−1. It was utilized to study the time required for aqueous magnetic fluids in a magnetic field to reach a steady state, taking into account the coupling effect of the flow field and magnetic field. Additionally, the time needed for the magnetic fluids to return to their initial state after demagnetization was also measured. Based on these measurements, the rheological behavior of magnetic fluids with varying concentrations and magnetic field directions was studied. Results indicate that the residence time of the magnetic fluids in the magnetic field and the de-magnetization time have almost no effect on their viscosity. When the magnetic field direction is perpendicular to the flow direction, regardless of concentration, aqueous magnetic fluids exhibit shear thinning behavior; when it is parallel to the flow direction, high-concentration aqueous magnetic fluids show shear thickening, while low-concentration ones behave as Newtonian fluids. In this study’s shear rate range, no Newtonian regions were found in either high- or low-shear rate regions.
为了研究磁性流体在各种剪切速率下的流变行为,我们构建了一套流变测量系统,并验证了其可行性。该系统能够测量五个数量级的剪切速率范围,最大剪切速率为 106 s-1。考虑到流场和磁场的耦合效应,该系统被用于研究磁场中的含水磁性流体达到稳定状态所需的时间。此外,还测量了磁性流体在退磁后恢复到初始状态所需的时间。根据这些测量结果,研究了不同浓度和磁场方向的磁性流体的流变行为。结果表明,磁性流体在磁场中的停留时间和去磁时间对其粘度几乎没有影响。当磁场方向与流动方向垂直时,无论浓度如何,水基磁性流体都表现出剪切变稀的行为;当磁场方向与流动方向平行时,高浓度水基磁性流体表现出剪切变稠的行为,而低浓度水基磁性流体则表现为牛顿流体。在本研究的剪切速率范围内,无论是高剪切速率区域还是低剪切速率区域,都没有发现牛顿区域。
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引用次数: 0
Dual-mode flexible sensor based on magnetic film for wearable smart finger sleeve 基于磁性薄膜的双模柔性传感器,用于可穿戴智能指套
IF 4.1 3区 材料科学 Q1 INSTRUMENTS & INSTRUMENTATION Pub Date : 2024-08-23 DOI: 10.1088/1361-665x/ad6ecf
Guoheng Lin, Ling Weng, Hui Zhang, Zhuolin Li, Boyang Hu, Kai Meng, Shengwang Jiang
Flexible tactile sensors are an important branch of wearable devices and have received extensive attention in areas such as human–computer interaction and health detection. However, some existing flexible wearable devices have the limitation of single detection quantity, so it is particularly important to study a multi-mode flexible tactile sensor. We designed a dual-mode tactile sensor with high sensitivity and wide measurement range. The sensor consists of a magnetic film in the top layer, a silicone elastomer in the middle layer, and a tunneling magnetoresistive element in the bottom layer. The experimental results show that the haptic sensor is capable of measuring static forces in the range of 0.05–18 N, and the sensitivity of the sensor to static forces increases and then decreases as the applied force increases. The maximum sensitivity was 396.4 mV N−1 in the range of 9–10 N. The tactile sensor was able to measure bending angle in the range of 1–60°. The bending angle sensitivity decreases as the applied bending angle increases, with a maximum sensitivity of 308.7 mV per 5° in the 0–5° range. The sensor has good dynamic performance, and after 1000 cyclic loading tests, the output voltage did not show any significant decrease, and the sensor response time and recovery time were 44 ms and 46 ms, respectively. This study lays a foundation for further research and development of various wearable devices and electronic skins.
柔性触觉传感器是可穿戴设备的一个重要分支,在人机交互和健康检测等领域受到广泛关注。然而,现有的一些柔性可穿戴设备存在检测量单一的局限性,因此研究一种多模式柔性触觉传感器显得尤为重要。我们设计了一种具有高灵敏度和宽测量范围的双模触觉传感器。该传感器由顶层的磁性薄膜、中间层的硅树脂弹性体和底层的隧道磁阻元件组成。实验结果表明,触觉传感器能够测量 0.05-18 N 范围内的静态力,传感器对静态力的灵敏度随外加力的增大而增大,然后减小。在 9-10 N 的范围内,最大灵敏度为 396.4 mV N-1。弯曲角灵敏度随着施加弯曲角的增加而降低,在 0-5° 范围内,每 5° 的最大灵敏度为 308.7 mV。该传感器具有良好的动态性能,经过 1000 次循环加载测试后,输出电压没有出现明显下降,传感器的响应时间和恢复时间分别为 44 毫秒和 46 毫秒。这项研究为进一步研究和开发各种可穿戴设备和电子皮肤奠定了基础。
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引用次数: 0
Tunable stiffness Kirigami gripper based on shape memory polymer and supercoiled polymer artificial muscle for multi-mode grasping 基于形状记忆聚合物和超卷曲聚合物人工肌肉的可调刚度桐神抓手,用于多模式抓取
IF 4.1 3区 材料科学 Q1 INSTRUMENTS & INSTRUMENTATION Pub Date : 2024-08-22 DOI: 10.1088/1361-665x/ad6ed1
Yang Yang, Peng Wang, Jia Liu, Yili Fu, Yang Shen
In this article, a tunable stiffness soft gripper based on Kirigami structure and shape memory polymer (SMP) is proposed. The Kirigami gripper uses SMP as variable stiffness element and employs Nichrome heating wires laid inside the gripper as heating element. Due to the segmented layout of the heating wires, the gripper possesses segmented stiffness modulation capability. As a result, programmable deformation trajectories are achieved, enabling multi-mode grasping functionality by adjusting its bending shape to accommodate different object contours. Using the thermally activated supercoiled polymer artificial muscle as the actuator, the gripper can achieve a silent and pumpless actuation and whole robotic system can be compact. The gripper mainly offers three different grasping modes—pinching, wrapping and hooking, to meet the requirements of complex tasks. Experimental results show that the Kirigami gripper can achieve a 13 times stiffness variation within 16 s, and each Kirigami gripper with different heating patterns exhibits different trajectories during the deformation process, capable of adapting and locking its shape to objects with different contours during grasping.
本文提出了一种基于 Kirigami 结构和形状记忆聚合物(SMP)的可调刚度软抓手。Kirigami 机械手使用 SMP 作为可变刚度元件,并采用铺设在机械手内部的镍铬加热丝作为加热元件。由于加热丝的分段布局,该机械手具有分段刚度调节能力。因此,可编程变形轨迹得以实现,通过调整其弯曲形状来适应不同的物体轮廓,从而实现多模式抓取功能。通过使用热激活超卷曲聚合物人工肌肉作为执行器,该机械手可实现无声、无泵驱动,整个机器人系统结构紧凑。该机械手主要提供三种不同的抓取模式--夹、缠和钩,以满足复杂任务的要求。实验结果表明,Kirigami 机械手可在 16 秒内实现 13 倍的刚度变化,而且每个具有不同加热模式的 Kirigami 机械手在变形过程中会呈现出不同的轨迹,能够在抓取不同轮廓的物体时适应并锁定其形状。
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引用次数: 0
A soft bioinspired suction cup with tunable adhesion force using shape memory alloy 利用形状记忆合金制造具有可调附着力的软生物吸盘
IF 4.1 3区 材料科学 Q1 INSTRUMENTS & INSTRUMENTATION Pub Date : 2024-08-14 DOI: 10.1088/1361-665x/ad6cbb
Weimian Zhou, Chanchan Xu, Guisong Chen, Xiaojie Wang
Suction cups has been widely utilized to grasp objects, but they typically encounter challenges with sealing failure and non-adjustable adhesion force. In this study, a bioinspired suction cup integrated with an shape memory alloy actuated module was proposed to solve these problems. The actuating performance under different input current was firstly investigated to ensure the effectiveness of the module. Then, inspired by the surface structures of the tree frog’s toe pad, the synthetic bioinspired suction cups with hexagonal microstructures at the rims were designed. The regular cup with soft and smooth rim was also fabricated for comparison study. Furthermore, the adhesion performance and surface adaptability of different two cups were studied in both dry and water conditions on substrates with various roughness levels. The results indicated that the proposed active bioinspired suction cup exhibited higher pull-off strength and better sealing on less rough substrates. The proposed bioinspired suction cup possessed the advantages of compactness and lightweight, thus demonstrating potential for integration into arrayed suction grippers.
吸盘已被广泛用于抓取物体,但它们通常会遇到密封失效和粘附力不可调等难题。本研究提出了一种集成了形状记忆合金驱动模块的生物启发吸盘来解决这些问题。首先研究了不同输入电流下的驱动性能,以确保模块的有效性。然后,受树蛙趾垫表面结构的启发,设计了边缘具有六边形微结构的合成生物启发吸盘。为了进行对比研究,还制作了边缘柔软光滑的普通吸盘。此外,还研究了这两种吸盘在不同粗糙度的基底上,在干燥和水中的粘附性能和表面适应性。结果表明,所提出的主动生物启发吸盘在粗糙度较低的基底上具有更高的拉拔强度和更好的密封性。所提出的生物启发吸盘具有结构紧凑、重量轻的优点,因此具有集成到阵列式吸力夹具中的潜力。
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引用次数: 0
Topology optimization of smart structures to enhance the performances of vibration control and energy harvesting 优化智能结构拓扑,提高振动控制和能量收集性能
IF 4.1 3区 材料科学 Q1 INSTRUMENTS & INSTRUMENTATION Pub Date : 2024-08-14 DOI: 10.1088/1361-665x/ad69ea
J P Sena, A M G de Lima, N Bouhaddi, N Kacem
With the growing interest in smart materials, the utilization of shunted piezoceramics for dynamic vibration control has gained significant attention due to their unique characteristics, such as the ability to absorb strain energy from vibrating systems and convert it into electrical energy. Designing and analyzing the behavior of structures in hybrid mitigation/harvesting conditions, considering both reliability and performance, pose challenges. This paper aims to achieve optimal design parameters for the structure by employing a multiobjective optimization approach that strikes a compromise between maximizing harvested power and minimizing structural damage. To evaluate the effectiveness of the design, topology optimization was conducted in three different cases to compare the results. By systematically exploring the design space, these cases provide insights into the influence of various parameters on the structural performance. In addition, to enhance computational efficiency, the structure was represented as a metamodel using neural networks. This approach enables rapid evaluation and prediction of the structure’s behavior, facilitating the optimization process. By integrating multiobjective optimization, topology optimization, and metamodeling techniques, this study aims to provide valuable insights into the optimal design of structures that simultaneously incorporate shunt circuitry for vibration control and energy harvesting, leading to improved performance and reliability.
随着人们对智能材料的兴趣与日俱增,用于动态振动控制的分流压电陶瓷因其独特的特性(如从振动系统中吸收应变能并将其转换为电能的能力)而备受关注。在考虑可靠性和性能的同时,设计和分析混合缓解/收获条件下的结构行为是一项挑战。本文旨在通过采用多目标优化方法,实现结构的最佳设计参数,在最大化收获功率和最小化结构损坏之间取得折中。为评估设计的有效性,在三种不同情况下进行了拓扑优化,以比较结果。通过系统地探索设计空间,这些案例让我们深入了解了各种参数对结构性能的影响。此外,为了提高计算效率,使用神经网络将结构表示为元模型。这种方法可以快速评估和预测结构的行为,促进优化过程。通过整合多目标优化、拓扑优化和元模型技术,本研究旨在为同时包含用于振动控制和能量收集的并联电路的结构优化设计提供有价值的见解,从而提高结构的性能和可靠性。
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引用次数: 0
Modeling of an electro-active pseudo-trilayer based on PEDOT, a semi-conductor polymer 基于半导体聚合物 PEDOT 的电活性伪三层膜建模
IF 4.1 3区 材料科学 Q1 INSTRUMENTS & INSTRUMENTATION Pub Date : 2024-08-14 DOI: 10.1088/1361-665x/ad6ab8
M Tixier, J Pouget
Electroactive polymers are smart materials that can be used as actuators, sensors, or energy harvesters. We focus on a pseudo trilayer based on PEDOT, a semiconductor polymer: the central part consists of two interpenetrating polymers and PEDOT is polymerized on each side; the whole blade is saturated with an ionic liquid. A pseudo trilayer is obtained, the two outer layers acting as electrodes. When an electric field is applied, the cations move towards the negative electrode, making it swell, while the volume decreases on the opposite side; this results in the bending of the strip. Conversely, the film deflection generates an electric potential difference between the electrodes. We model this system and establish its constitutive relations using the thermodynamics of irreversible processes; we obtain a Kelvin–Voigt stress–strain relation and generalized Fourier’s and Darcy’s laws. We validate our model in the static case: we apply the latter to a cantilever blade subject to a continuous potential electric difference at the constant temperature. We draw the profiles of the different quantities and evaluate the tip displacement and the blocking force. Our results agree with the experimental data published in the literature.
电活性聚合物是一种智能材料,可用作致动器、传感器或能量收集器。我们的研究重点是基于半导体聚合物 PEDOT 的假三层:中央部分由两种相互渗透的聚合物组成,PEDOT 在两侧聚合;整个叶片用离子液体饱和。这样就形成了一个伪三层结构,两个外层充当电极。当施加电场时,阳离子向负电极移动,使其膨胀,而相反一侧的体积则减小;这导致带材弯曲。反之,薄膜偏转会在电极之间产生电位差。我们利用不可逆过程的热力学建立了这一系统的模型和构成关系;我们得到了开尔文-伏依格特应力-应变关系以及广义傅里叶定律和达西定律。我们在静态情况下验证了我们的模型:我们将后者应用于在恒温条件下受到连续电势差影响的悬臂叶片。我们绘制了不同数量的曲线,并评估了叶尖位移和阻挡力。我们的结果与文献中公布的实验数据一致。
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引用次数: 0
Negative thermal expansion in hexagonal VF3 predicted by first-principles calculation 通过第一原理计算预测六边形 VF3 的负热膨胀率
IF 4.1 3区 材料科学 Q1 INSTRUMENTS & INSTRUMENTATION Pub Date : 2024-08-14 DOI: 10.1088/1361-665x/ad6bd7
Dingfeng Yang, Hongxu Xia, Yurou Tang, Mingyu Pi, Yuanyuan Li
Searching negative thermal expansion (NTE) materials is challenging. Herein, hexagonal VF3 is predicted as a new NTE material for the first time. VF3 displays NTE property in the temperature range from 0 to 380 K, and the minimum NTE coefficient(α) is approximately −4.68 × 10−6 K−1 at 120 K. The NTE mechanism was ascribed to the vibrations of F atom with larger atomic displacement parameters, which dominates the negative Grüneisen parameters. The difference of minimum NTE coefficient between VF3 and TiF3 might be caused by their different chemical bond strength between Ti–F and V–F. This research provides a deeper understanding between NTE and crystal structure.
寻找负热膨胀(NTE)材料极具挑战性。本文首次将六方 VF3 预测为一种新型负热膨胀材料。VF3 在 0 至 380 K 的温度范围内显示出 NTE 特性,120 K 时的最小 NTE 系数(α)约为 -4.68 × 10-6 K-1。VF3 和 TiF3 之间最小 NTE 系数的差异可能是由于 Ti-F 和 V-F 之间的化学键强度不同造成的。这项研究加深了对 NTE 与晶体结构之间的理解。
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引用次数: 0
Nondestructive evaluation of debonding in composites using air-coupled coda wave analysis and local defect resonance techniques 利用空气耦合尾波分析和局部缺陷共振技术对复合材料的脱粘进行无损评估
IF 4.1 3区 材料科学 Q1 INSTRUMENTS & INSTRUMENTATION Pub Date : 2024-08-14 DOI: 10.1088/1361-665x/ad6cba
Zhiqiang Li, Jingpin Jiao, Xiangfeng Zheng, Xiaojun Hao, Cunfu He, Bin Wu
Low acoustic energy conversion efficiency is a major challenge for air-coupled ultrasonic technology. In the determination of the lift-off distance of air-coupled sensors, there is a balance between the acoustic energy attenuation and the difficulty of extracting defect information. In this study, an air-coupled local defect resonance (LDR) technique with coda wave analysis is proposed for the nondestructive evaluation of debonding in composites. A sensor consisting of 19 elements was used to simultaneously excite and receive ultrasonic waves. Air-coupled LDR experiments were conducted on the two types of composite structures. The effects of sensor lift-off distance and coda wave analysis on the performance of the LDR technique were investigated. It was found that the sensor lift-off distance and the coda wave analysis had a significant effect on the defect detection capability of the LDR technique. For composites, the optimal sensor lift-off distance was found to be between 3.5λ and 5.5λ, where λ is the wavelength. Compared to multiple reflection echoes, the coda waves are more suitable for identifying the damage in composites. The proposed non-contact ultrasonic technique effectively reduces the required incident acoustic energy and can be used for efficient detection of debonding in composites.
声能转换效率低是空气耦合超声波技术面临的一大挑战。在确定空气耦合传感器的提升距离时,需要在声能衰减和提取缺陷信息的难度之间取得平衡。在这项研究中,提出了一种空气耦合局部缺陷共振(LDR)技术,该技术具有尾波分析功能,可用于复合材料脱粘的无损评估。传感器由 19 个元件组成,用于同时激发和接收超声波。在两种复合材料结构上进行了空气耦合 LDR 实验。研究了传感器升离距离和尾波分析对 LDR 技术性能的影响。结果发现,传感器的升离距离和尾波分析对 LDR 技术的缺陷检测能力有显著影响。对于复合材料,最佳的传感器提升距离在 3.5λ 和 5.5λ 之间,其中 λ 是波长。与多重反射回波相比,正弦波更适合用于识别复合材料中的损伤。所提出的非接触式超声波技术可有效降低所需的入射声波能量,并可用于复合材料脱粘的有效检测。
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引用次数: 0
Data-driven inverse design of the perforated auxetic phononic crystals for elastic wave manipulation 用于弹性波操纵的穿孔辅助声子晶体的数据驱动反向设计
IF 4.1 3区 材料科学 Q1 INSTRUMENTS & INSTRUMENTATION Pub Date : 2024-08-14 DOI: 10.1088/1361-665x/ad6c05
Hongyuan Liu, Yating Gao, Yongpeng Lei, Hui Wang, Qinxi Dong
In addition to the distinctive features of tunable Poisson’s ratio from positive to negative and low stress concentration, the perforated auxetic metamaterials by peanut-shaped cuts have exhibited excellent phononic crystal (PNC) behavior as well for elastic wave manipulation. Thus they have attracted much attention in vibration suppression for dynamic applications. However, traditional structural designs of the auxetic PNCs considerably depend on designers’ experience or inspiration to fulfill the desired multi-objective bandgap properties through extensive trial and error. Hence, developing a more efficient and robust inverse design method remains challenging to accelerate the creation of auxetic PNCs and improve their performance. To shorten this gap, a new machine learning (ML) framework consisting of double back propagation neural network (BPNN) modules is developed in this work to produce desired configurations of the auxetic PNCs matching the customized bandgap. The first inverse BPNN module is trained to establish a logical mapping from the bandgap properties to the structural parameters, and then the second forward BPNN module is introduced to give the new property prediction by using the design configurations generated from the former. The error between the new predictions and the desired target properties is minimized through a limited number of iterations to produce the final optimal objective configurations. The results indicate that the perforated auxetic metamaterials behave relatively wide complete bandgap and the present ML model is effective in designing them with specific bandgaps within or beyond the given dataset. The study provides a powerful tool for designing and optimizing the perforated auxetic metamaterials in dynamic environment.
除了具有可调泊松比(从正到负)和低应力集中的显著特点外,花生形切口的穿孔辅助超材料在弹性波操纵方面也表现出卓越的声子晶体(PNC)行为。因此,它们在动态应用的振动抑制方面备受关注。然而,辅助声子晶体的传统结构设计在很大程度上依赖于设计者的经验或灵感,通过大量的试验和错误来实现所需的多目标带隙特性。因此,开发一种更高效、更稳健的反向设计方法,以加快辅助带隙 PNC 的创建速度并提高其性能,仍然具有挑战性。为了缩短这一差距,本研究开发了一种由双反传播神经网络(BPNN)模块组成的新机器学习(ML)框架,以生成与定制带隙相匹配的辅助etic PNC 理想配置。先训练第一个反向 BPNN 模块,建立从带隙特性到结构参数的逻辑映射,然后引入第二个正向 BPNN 模块,利用前者生成的设计配置给出新的特性预测。通过有限次数的迭代,使新预测值与所需目标特性之间的误差最小化,从而产生最终的最优目标配置。研究结果表明,穿孔辅助超材料具有相对较宽的完整带隙,本 ML 模型可有效设计出在给定数据集内或超出给定数据集的特定带隙。这项研究为在动态环境中设计和优化穿孔辅助超材料提供了强有力的工具。
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引用次数: 0
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Smart Materials and Structures
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