{"title":"用于厚度测量的螺旋形碳纳米管复合材料弯曲曲率和结构的影响","authors":"Ziling Zhang;Luheng Wang;Zhineng Hu","doi":"10.1109/JSEN.2025.3530912","DOIUrl":null,"url":null,"abstract":"This article investigates the properties of intrinsically flexible composite materials as sensing elements for thickness measurement. The advantages and effects, such as flexibility and structure, are studied. The characterization of coil-shaped carbon nanotube composites is described, which exhibits good sensitivity and adaptability in various measurement scenarios. The study systematically investigates the effects of sensor structure (e.g., size, turns), curvature, and excitation source edge effect on the accuracy and reliability of thickness measurements. Experimental results show that the coil-shaped carbon nanotube composite proposed in this article exhibits good and consistent response characteristics during thickness measurement. This response trend remains invariant regardless of variations in the sensor’s own structure or bending degree. However, factors, such as structure and bending curvature, cause deviations in the induced electromotive force (emf) output during thickness measurement, which demonstrate regularity under controlled experimental conditions. Moreover, deviations occurring in the excitation coil during the measurement process directly influence the output characteristics of the sensing element for thickness measurement, potentially rendering the measurement impossible in the end. Through a series of experiments and theoretical analyses, the sensing elements’ behavior under different conditions is demonstrated and a reference for the characteristics of coil-shaped carbon nanotube composite thickness sensing elements for thickness measurements in different practical application environments that may exist.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 6","pages":"9349-9356"},"PeriodicalIF":4.3000,"publicationDate":"2025-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Effects of Bending Curvature and Structure of Coil-Shaped Carbon Nanotube Composite for Thickness Measurement\",\"authors\":\"Ziling Zhang;Luheng Wang;Zhineng Hu\",\"doi\":\"10.1109/JSEN.2025.3530912\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article investigates the properties of intrinsically flexible composite materials as sensing elements for thickness measurement. The advantages and effects, such as flexibility and structure, are studied. The characterization of coil-shaped carbon nanotube composites is described, which exhibits good sensitivity and adaptability in various measurement scenarios. The study systematically investigates the effects of sensor structure (e.g., size, turns), curvature, and excitation source edge effect on the accuracy and reliability of thickness measurements. Experimental results show that the coil-shaped carbon nanotube composite proposed in this article exhibits good and consistent response characteristics during thickness measurement. This response trend remains invariant regardless of variations in the sensor’s own structure or bending degree. However, factors, such as structure and bending curvature, cause deviations in the induced electromotive force (emf) output during thickness measurement, which demonstrate regularity under controlled experimental conditions. Moreover, deviations occurring in the excitation coil during the measurement process directly influence the output characteristics of the sensing element for thickness measurement, potentially rendering the measurement impossible in the end. Through a series of experiments and theoretical analyses, the sensing elements’ behavior under different conditions is demonstrated and a reference for the characteristics of coil-shaped carbon nanotube composite thickness sensing elements for thickness measurements in different practical application environments that may exist.\",\"PeriodicalId\":447,\"journal\":{\"name\":\"IEEE Sensors Journal\",\"volume\":\"25 6\",\"pages\":\"9349-9356\"},\"PeriodicalIF\":4.3000,\"publicationDate\":\"2025-01-23\",\"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/10851805/\",\"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}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Sensors Journal","FirstCategoryId":"103","ListUrlMain":"https://ieeexplore.ieee.org/document/10851805/","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}
Effects of Bending Curvature and Structure of Coil-Shaped Carbon Nanotube Composite for Thickness Measurement
This article investigates the properties of intrinsically flexible composite materials as sensing elements for thickness measurement. The advantages and effects, such as flexibility and structure, are studied. The characterization of coil-shaped carbon nanotube composites is described, which exhibits good sensitivity and adaptability in various measurement scenarios. The study systematically investigates the effects of sensor structure (e.g., size, turns), curvature, and excitation source edge effect on the accuracy and reliability of thickness measurements. Experimental results show that the coil-shaped carbon nanotube composite proposed in this article exhibits good and consistent response characteristics during thickness measurement. This response trend remains invariant regardless of variations in the sensor’s own structure or bending degree. However, factors, such as structure and bending curvature, cause deviations in the induced electromotive force (emf) output during thickness measurement, which demonstrate regularity under controlled experimental conditions. Moreover, deviations occurring in the excitation coil during the measurement process directly influence the output characteristics of the sensing element for thickness measurement, potentially rendering the measurement impossible in the end. Through a series of experiments and theoretical analyses, the sensing elements’ behavior under different conditions is demonstrated and a reference for the characteristics of coil-shaped carbon nanotube composite thickness sensing elements for thickness measurements in different practical application environments that may exist.
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