Sacrificial 3D printing to fabricate MXene-based wearable sensors with tunable performance

可穿戴计算机 可穿戴技术 3D打印 材料科学 纳米技术 嵌入式系统 计算机科学 复合材料
作者
Amr Osman,Hui Liu,Jian Lü
出处
期刊:Chemical Engineering Journal [Elsevier BV]
卷期号:484: 149461-149461 被引量:25
标识
DOI:10.1016/j.cej.2024.149461
摘要

Wearable sensors are becoming a vital element of newly developed smart devices for their significant prospects in health monitoring, motion detection, and human–machine interactions. Introducing a cost-effective strategy to fabricate pressure sensors with high sensitivity, compressibility, recoverability, and linearity, while also maintaining control over the structure, is a challenge in the development of scalable and high-performance wearable devices. Herein, a fused deposition modelling (FDM)-assisted dip coating is performed to fabricate highly porous pressure sensors with gyroid topologies derived from 3D-printed sacrificial molds. A layer-by-layer dip coating is proposed to obtain a uniform conductive layer over elastomer-based scaffolds using negatively and positively charged MXene nanosheets. The porous sensor based on the self-assembled MXene demonstrates a high sensitivity (9.859 kPa−1) in an extensive linearity range of up to 50 kPa, negligible hysteresis, and good stability up to 1750 cycles. Additionally, the sensor exhibits high temperature sensitivity (4.349 % °C−1) with superb linearity (up to 100 °C). The distinctive sensing and deformation mechanisms are elucidated in detail using in situ SEM and finite element analysis. By tuning the lattice structure of the sensors, the pressure sensitivities can be significantly improved to 34.43 kPa−1 and 84.47 kPa−1 within the pressure ranges of 12–34 kPa and 34–55 kPa, respectively. The gyroid-derived pressure sensor exhibits promising potential in diverse applications, including pulse rate monitoring, phonation, and motion activities. A 4 × 4 sensor array is assembled to provide real-time spatial pressure mapping. Furthermore, the wearability of the sensor can be tailored to introduce user-specific products.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
马茹发布了新的文献求助10
刚刚
刚刚
思源应助linsen采纳,获得10
刚刚
1秒前
收容成功应助phonetwo采纳,获得10
1秒前
elaina发布了新的文献求助10
1秒前
科研通AI6.2应助Aaron采纳,获得30
1秒前
苏打粉可乐完成签到,获得积分10
3秒前
NJD发布了新的文献求助10
3秒前
3秒前
赤壁发布了新的文献求助10
3秒前
无聊的太清完成签到,获得积分10
4秒前
4秒前
4秒前
852应助Doubility采纳,获得10
5秒前
三笠发布了新的文献求助10
5秒前
5秒前
5秒前
Orange应助朴实沛山采纳,获得10
5秒前
从容雨筠完成签到,获得积分10
5秒前
5秒前
沐浴完成签到,获得积分10
6秒前
Winnie完成签到,获得积分20
7秒前
7秒前
9秒前
9秒前
9秒前
9秒前
9秒前
9秒前
9秒前
9秒前
9秒前
上官若男应助鲤鱼惮采纳,获得10
10秒前
NiuNiu4发布了新的文献求助10
10秒前
微笑奇异果完成签到,获得积分10
10秒前
冉冉发布了新的文献求助10
10秒前
GWT完成签到,获得积分10
10秒前
10秒前
任性的牛排完成签到,获得积分10
12秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Principles of town planning: translating concepts to applications 1000
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The Great Hymn to Šamaš 500
Positive Obsession: The Life and Times of Octavia E. Butler 500
Interpolation and Regression Models for the Chemical Engineer: Solving Numerical Problems 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7693212
求助须知:如何正确求助?哪些是违规求助? 9254097
关于积分的说明 19987576
捐赠科研通 7266452
什么是DOI,文献DOI怎么找? 3291521
关于科研通互助平台的介绍 2447579
邀请新用户注册赠送积分活动 2296922