High-Linearity and High-Stability AgNPs Thin-Film Temperature Sensor and Microcrack Thin-Film Strain Gauge Based on Laser-Assisted Fabrication

IF 4.3 2区 综合性期刊 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Luoxin Li;Wei Xiao;Lianjie Lu;Luntao Xia;Chenhe Shao;Yong Huang;Xin Liu;Zhenjin Xu;Qibin Zhuang;Zhengmao Ding;Dezhi Wu
{"title":"High-Linearity and High-Stability AgNPs Thin-Film Temperature Sensor and Microcrack Thin-Film Strain Gauge Based on Laser-Assisted Fabrication","authors":"Luoxin Li;Wei Xiao;Lianjie Lu;Luntao Xia;Chenhe Shao;Yong Huang;Xin Liu;Zhenjin Xu;Qibin Zhuang;Zhengmao Ding;Dezhi Wu","doi":"10.1109/JSEN.2025.3563269","DOIUrl":null,"url":null,"abstract":"Real-time monitoring of bearing operational status is critical for mechanical equipment safety. However, integrated temperature-strain sensors often encounter crosstalk between signals, which affects the accuracy and stability of measurements. Achieving precise in situ monitoring of bearing temperature and strain conditions remains a significant technical challenge. Here, highly linear and stable AgNPs thin-film temperature sensors (AgNPs TFTSs) and AgNPs microcrack thin-film strain gauges (AgNPs MTFSGs) are proposed using laser-assisted printing technology, which is capable of accurately acquiring condition parameters of bearing. The printed AgNPs TFTS exhibited a low hysteresis error of 2.6% and a high linearity of 0.999. The microcracks in AgNPs MTFSG were induced by ultraviolet (UV) laser, yielding a significant enhancement of the gauge factor (GF) from 1.03 (baseline) to 3.19. This twofold sensitivity improvement was achieved while maintaining excellent linearity (<inline-formula> <tex-math>${R}^{{2}}=0.997$ </tex-math></inline-formula>). In particular, these thin-film sensors exhibited good stability even when applied to bearings. Typically, AgNPs TFTS and AgNPs MTFSG maintained a low-resistance drift rate of 0.012%/h and a repeatability error of 2.1%, respectively, demonstrating broad adaptability. In addition, both AgNPs TFTS and AgNPs MTFSG exhibited excellent dynamic and static response characteristics. This provides a method for the direct in situ fabrication of thin-film sensors with high linearity and high stability on mechanical components, such as gears and bolts.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 11","pages":"18989-19000"},"PeriodicalIF":4.3000,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Sensors Journal","FirstCategoryId":"103","ListUrlMain":"https://ieeexplore.ieee.org/document/10979275/","RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0

Abstract

Real-time monitoring of bearing operational status is critical for mechanical equipment safety. However, integrated temperature-strain sensors often encounter crosstalk between signals, which affects the accuracy and stability of measurements. Achieving precise in situ monitoring of bearing temperature and strain conditions remains a significant technical challenge. Here, highly linear and stable AgNPs thin-film temperature sensors (AgNPs TFTSs) and AgNPs microcrack thin-film strain gauges (AgNPs MTFSGs) are proposed using laser-assisted printing technology, which is capable of accurately acquiring condition parameters of bearing. The printed AgNPs TFTS exhibited a low hysteresis error of 2.6% and a high linearity of 0.999. The microcracks in AgNPs MTFSG were induced by ultraviolet (UV) laser, yielding a significant enhancement of the gauge factor (GF) from 1.03 (baseline) to 3.19. This twofold sensitivity improvement was achieved while maintaining excellent linearity ( ${R}^{{2}}=0.997$ ). In particular, these thin-film sensors exhibited good stability even when applied to bearings. Typically, AgNPs TFTS and AgNPs MTFSG maintained a low-resistance drift rate of 0.012%/h and a repeatability error of 2.1%, respectively, demonstrating broad adaptability. In addition, both AgNPs TFTS and AgNPs MTFSG exhibited excellent dynamic and static response characteristics. This provides a method for the direct in situ fabrication of thin-film sensors with high linearity and high stability on mechanical components, such as gears and bolts.
基于激光辅助制造的高线性高稳定AgNPs薄膜温度传感器和微裂纹薄膜应变计
轴承运行状态的实时监测对机械设备的安全至关重要。然而,集成式温度应变传感器经常遇到信号串扰,影响测量的精度和稳定性。实现轴承温度和应变条件的精确原位监测仍然是一个重大的技术挑战。利用激光辅助打印技术,提出了高度线性稳定的AgNPs薄膜温度传感器(AgNPs TFTSs)和AgNPs微裂纹薄膜应变片(AgNPs MTFSGs),能够准确获取轴承的状态参数。打印AgNPs TFTS的滞后误差为2.6%,线性度为0.999。紫外(UV)激光诱导AgNPs MTFSG的微裂纹,测量因子(GF)从1.03(基线)显著提高到3.19。在保持良好线性的同时实现了两倍灵敏度的提高(${R}^{{2}}=0.997$)。特别是,这些薄膜传感器即使应用于轴承也表现出良好的稳定性。通常,AgNPs TFTS和AgNPs MTFSG分别保持了0.012%/h的低电阻漂移率和2.1%的重复性误差,具有广泛的适应性。此外,AgNPs TFTS和AgNPs MTFSG均表现出优异的动态和静态响应特性。这为在齿轮和螺栓等机械部件上直接原位制造具有高线性度和高稳定性的薄膜传感器提供了一种方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
IEEE Sensors Journal
IEEE Sensors Journal 工程技术-工程:电子与电气
CiteScore
7.70
自引率
14.00%
发文量
2058
审稿时长
5.2 months
期刊介绍: The fields of interest of the IEEE Sensors Journal are the theory, design , fabrication, manufacturing and applications of devices for sensing and transducing physical, chemical and biological phenomena, with emphasis on the electronics and physics aspect of sensors and integrated sensors-actuators. IEEE Sensors Journal deals with the following: -Sensor Phenomenology, Modelling, and Evaluation -Sensor Materials, Processing, and Fabrication -Chemical and Gas Sensors -Microfluidics and Biosensors -Optical Sensors -Physical Sensors: Temperature, Mechanical, Magnetic, and others -Acoustic and Ultrasonic Sensors -Sensor Packaging -Sensor Networks -Sensor Applications -Sensor Systems: Signals, Processing, and Interfaces -Actuators and Sensor Power Systems -Sensor Signal Processing for high precision and stability (amplification, filtering, linearization, modulation/demodulation) and under harsh conditions (EMC, radiation, humidity, temperature); energy consumption/harvesting -Sensor Data Processing (soft computing with sensor data, e.g., pattern recognition, machine learning, evolutionary computation; sensor data fusion, processing of wave e.g., electromagnetic and acoustic; and non-wave, e.g., chemical, gravity, particle, thermal, radiative and non-radiative sensor data, detection, estimation and classification based on sensor data) -Sensors in Industrial Practice
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信