Tailoring auxetic mechanical metamaterials to achieve patterned wire strain sensors with controllable high sensitivity

Wu, Chunjin; Wang, Huai; Kim, Tae-Hoon; Kwon, Suk Jin; Lee, Kyunbae; Lee, Sang-Bok; Um, Moon‐Kwang; Byun, Joon‐Hyung; Chou, Tsu‐Wei

doi:10.1016/j.cej.2022.136317

Cited by 20 publications

(5 citation statements)

References 45 publications

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“…Similarly, Wu et al proposed a FEM-based metamaterial design for improved sensitivity and durability. The device was composed of a wire strain sensor with six auxetic units and showed high sensitivity (GF = 21.8 at ∼80–130% strain) and high stretchability (130%) . This system could potentially be helpful to fast-track patient care in crowded hospital settings and access to medical care in nonprivileged demographics.…”

Section: Emerging Applications Of Ai-based Metamaterials Design In He...mentioning

confidence: 99%

AI-Based Metamaterial Design

Tezsezen,

Yigci,

Ahmadpour

et al. 2024

ACS Appl. Mater. Interfaces

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The use of metamaterials in various devices has revolutionized applications in optics, healthcare, acoustics, and power systems. Advancements in these fields demand novel or superior metamaterials that can demonstrate targeted control of electromagnetic, mechanical, and thermal properties of matter. Traditional design systems and methods often require manual manipulations which is time-consuming and resource intensive. The integration of artificial intelligence (AI) in optimizing metamaterial design can be employed to explore variant disciplines and address bottlenecks in design. AI-based metamaterial design can also enable the development of novel metamaterials by optimizing design parameters that cannot be achieved using traditional methods. The application of AI can be leveraged to accelerate the analysis of vast data sets as well as to better utilize limited data sets via generative models. This review covers the transformative impact of AI and AI-based metamaterial design for optics, acoustics, healthcare, and power systems. The current challenges, emerging fields, future directions, and bottlenecks within each domain are discussed.

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Section: Emerging Applications Of Ai-based Metamaterials Design In He...mentioning

confidence: 99%

AI-Based Metamaterial Design

Tezsezen,

Yigci,

Ahmadpour

et al. 2024

ACS Appl. Mater. Interfaces

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“…Three basic building blocks (structures a, b, and c) were employed to fabricate twelve different wire strain sensors with six building blocks (Figure 3f). The influence of the proportion and arrangement of different structural units on the performance of the sensor was studied, and the results are shown in Figure 3g [57]. The sensitivity of the line strain sensor could be adjusted through the ratio and arrangement of the three structural units so that the appropriate sensor could be flexibly selected according to the actual situation.…”

Section: Resistive Auxetic Sensosmentioning

confidence: 99%

Sensors Based on Auxetic Materials and Structures: A Review

Dong

2023

Materials

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Auxetic materials exhibit a negative Poisson’s ratio under tension or compression, and such counter-intuitive behavior leads to enhanced mechanical properties such as shear resistance, impact resistance, and shape adaptability. Auxetic materials with these excellent properties show great potential applications in personal protection, medical health, sensing equipment, and other fields. However, there are still many limitations in them, from laboratory research to real applications. There have been many reported studies applying auxetic materials or structures to the development of sensing devices in anticipation of improving sensitivity. This review mainly focuses on the use of auxetic materials or auxetic structures in sensors, providing a broad review of auxetic-based sensing devices. The material selection, structure design, preparation method, sensing mechanism, and sensing performance are introduced. In addition, we explore the relationship between the auxetic mechanism and the sensing performance and summarize how the auxetic behavior enhances the sensitivity. Furthermore, potential applications of sensors based on the auxetic mechanism are discussed, and the remaining challenges and future research directions are suggested. This review may help to promote further research and application of auxetic sensing devices.

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“…However, using the auxetic structure to regulate the performance of strain sensor was reported by several papers in the past few years. [23][24][25]27,28,47,57,58,[61][62][63][64][65][66][67] In this article, the optimization was such that by changing the geometry of the sensor structure, its sensing performance was improved. It means that a connection was established between the mechanical properties and the sensory properties of the sensor, and this type of optimization had not been done in the literature review.…”

Section: Parameters Affecting the Auxetic Sensor Sensitivity And Line...mentioning

confidence: 99%

Novel Linear, Piezoresistive, Auxetic Sensors Coated by AAA Battery Active Carbons with Supreme Sensitivity for Human Body Movement Detection

Taherkhani,

Bodaghi,

Rahmani

et al. 2023

Adv Eng Mater

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Herein, a novel strategy for creating low‐cost, sustainable, piezoresistive auxetic sensors using the active carbon in consumed AAA batteries, promoting a circular economy, is presented. An auxetic structure with a fixed Poisson's ratio during the strain is designed for sensing. The sensor substrate is silicone RTV2, and the sensing element is the active carbon in AAA batteries chopped to microscale particles using an ultrasonic wave. The sensor mold is designed using Solidworks software and produced using a computer numerical control device and EdgeCam2014 software. The coating process is performed by spraying the prepared particles on the molded auxetic structure and putting the coated auxetic structure under ultraviolet ray to prepare the final sensor. Sensitivity tests are performed, and the results show that the proposed sensor has a better sensitivity of about 1000% and 410% than the previous mixed and layered composite auxetic counterparts. The proposed sensor has linear sensitivity during the strain (estimated with a line with a slope of 0.64) while previous ones have a nonlinear performance (estimated at least with two lines). The sustainable sensor is implemented to detect the movements of the human body, including the movements of the wrist, finger, elbow, and forearm.

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Tailoring auxetic mechanical metamaterials to achieve patterned wire strain sensors with controllable high sensitivity

Cited by 20 publications

References 45 publications

AI-Based Metamaterial Design

AI-Based Metamaterial Design

Sensors Based on Auxetic Materials and Structures: A Review

Novel Linear, Piezoresistive, Auxetic Sensors Coated by AAA Battery Active Carbons with Supreme Sensitivity for Human Body Movement Detection

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