3D printed CNT/TPU triboelectric nanogenerator for load monitoring of total knee replacement.

IF 3.7 3区 材料科学 Q1 INSTRUMENTS & INSTRUMENTATION
Smart Materials and Structures Pub Date : 2025-06-01 Epub Date: 2025-06-19 DOI:10.1088/1361-665X/ade1ba
Osama Abdalla, Mahmood Chahari, Milad Azami, Amir Ameli, Emre Salman, Milutin Stanacevic, Ryan Willing, Shahrzad Towfighian
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引用次数: 0

Abstract

This study presents the development and characterization of a novel triboelectric nanogenerator (TENG) designed as a self-powered sensor for load monitoring in total knee replacement (TKR) implants. The triboelectric layers comprise a 3D-printed thermoplastic polyurethane (TPU) matrix with carbon nanotube (CNT) nanoparticles and kapton tape, sandwiched between two copper electrodes. To optimize sensor performance, the proposed CNT/TPU TENG sensor is fabricated with varying CNT concentrations and thicknesses, enabling a comprehensive analysis of how material composition and structural parameters influence energy harvesting efficiency. The 1% CNT/TPU composite demonstrates the highest power output among the tested samples. The solid CNT/TPU-based TENG generated the apparent output power of 4.1 µW under a cyclic compressive load of 2100 N, measured across a 1.6 GΩ load resistance and over a nominal contact area of 15.9 cm2, while the foam CNT/TPU film achieved a higher apparent output power of 6.9 µW measured across a 0.9 GΩ load resistance with the same nominal area. The generated power is sufficient to operate a power management and ADC circuit based on our earlier work. The sensors exhibit a stable open-circuit voltage of 320 V for the foam layer and 275 V for the solid one. Sensitivities are 80.50 mV N-1 ( 1600  N) and 24.60 mV N-1 (> 1600 N) for foam CNT/TPU film, demonstrating the integrated sensor capability for wide-range force sensing on TKR implants. The foam CNT/TPU-based TENG maintained stable performance over 16 000 load cycles, confirming its potential for long-term use inside the TKR. Additionally, the dielectric constant of the CNT/TPU composite was found to increase with increasing CNT concentration. The proposed CNT/TPU TENG sensor offers a broad working range and robust energy-harvesting efficiency, making it appropriate for self-powered load sensing in biomedical applications.

用于全膝关节置换术负荷监测的3D打印CNT/TPU摩擦电纳米发电机。
本研究介绍了一种新型摩擦电纳米发电机(TENG)的开发和特性,该发电机被设计为一种自供电传感器,用于全膝关节置换术(TKR)植入物的负载监测。摩擦电层由3d打印的热塑性聚氨酯(TPU)基体和碳纳米管(CNT)纳米粒子和卡普顿带组成,夹在两个铜电极之间。为了优化传感器性能,所提出的CNT/TPU TENG传感器采用不同的碳纳米管浓度和厚度制造,从而能够全面分析材料成分和结构参数如何影响能量收集效率。1%碳纳米管/TPU复合材料在测试样品中显示出最高的功率输出。基于固体CNT/TPU的TENG在2100 N的循环压缩载荷下产生4.1 μ W的表观输出功率,通过1.6 GΩ负载电阻和15.9 cm2的标称接触面积进行测量,而泡沫CNT/TPU薄膜在相同标称面积的0.9 GΩ负载电阻上获得更高的表观输出功率,为6.9 μ W。根据我们之前的工作,产生的功率足以运行电源管理和ADC电路。该传感器具有稳定的开路电压,泡沫层为320 V,固体层为275 V。泡沫碳纳米管/TPU薄膜的灵敏度分别为80.50 mV N-1(≤1600 N)和24.60 mV N-1(≤1600 N),显示了集成传感器在TKR植入物上的大范围力传感能力。基于泡沫碳纳米管/ tpu的TENG在16000次载荷循环中保持稳定的性能,证实了其在TKR内部长期使用的潜力。此外,碳纳米管/TPU复合材料的介电常数随碳纳米管浓度的增加而增加。提出的CNT/TPU TENG传感器提供了广泛的工作范围和强大的能量收集效率,使其适用于生物医学应用中的自供电负载传感。
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来源期刊
Smart Materials and Structures
Smart Materials and Structures 工程技术-材料科学:综合
CiteScore
7.50
自引率
12.20%
发文量
317
审稿时长
3 months
期刊介绍: Smart Materials and Structures (SMS) is a multi-disciplinary engineering journal that explores the creation and utilization of novel forms of transduction. It is a leading journal in the area of smart materials and structures, publishing the most important results from different regions of the world, largely from Asia, Europe and North America. The results may be as disparate as the development of new materials and active composite systems, derived using theoretical predictions to complex structural systems, which generate new capabilities by incorporating enabling new smart material transducers. The theoretical predictions are usually accompanied with experimental verification, characterizing the performance of new structures and devices. These systems are examined from the nanoscale to the macroscopic. SMS has a Board of Associate Editors who are specialists in a multitude of areas, ensuring that reviews are fast, fair and performed by experts in all sub-disciplines of smart materials, systems and structures. A smart material is defined as any material that is capable of being controlled such that its response and properties change under a stimulus. A smart structure or system is capable of reacting to stimuli or the environment in a prescribed manner. SMS is committed to understanding, expanding and dissemination of knowledge in this subject matter.
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