I. Carotti;D. R. Billson;D. A. Hutchins;P. Liddicott;J. A. Covington
{"title":"利用电子鼻顶空分析检测低碳钢和不锈钢的锈蚀","authors":"I. Carotti;D. R. Billson;D. A. Hutchins;P. Liddicott;J. A. Covington","doi":"10.1109/JSEN.2025.3562033","DOIUrl":null,"url":null,"abstract":"Corrosion poses a significant challenge across various industries, necessitating continuous monitoring to prevent catastrophic failures. This study explores an alternative noninvasive approach to corrosion detection by identifying by-products resulting from redox reactions or catalytic interactions between rust and its environment, leading to the emission of gaseous compounds. Utilizing electronic noses (eNoses), specifically the AlphaMOS FOX4000 and the custom-built Warwick OLFaction (WOLF), we analyzed the chemical headspace of rusted samples in comparison with control samples. The results indicated discernible variations in the chemical compounds within the rusted sample environments, including mild steel, stainless steel, air, and corrosion accelerant blanks, over specified corrosion time intervals ranging from 1 h to two months. Principal component analysis (PCA) unveiled distinctive clusters among corroded samples at different time points, illustrating notable disparities between rusted and nonrusted samples, as well as variations among the corroded samples based on the duration of corrosion. Our findings demonstrate the potential of eNoses for noninvasive corrosion detection, with applications in maintaining structural integrity and enhancing safety in critical infrastructure.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 12","pages":"22573-22579"},"PeriodicalIF":4.3000,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10975116","citationCount":"0","resultStr":"{\"title\":\"Detection of Rust Corrosion in Mild Steel and Stainless Steel Through Headspace Analysis by Electronic Noses\",\"authors\":\"I. Carotti;D. R. Billson;D. A. Hutchins;P. Liddicott;J. A. Covington\",\"doi\":\"10.1109/JSEN.2025.3562033\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Corrosion poses a significant challenge across various industries, necessitating continuous monitoring to prevent catastrophic failures. This study explores an alternative noninvasive approach to corrosion detection by identifying by-products resulting from redox reactions or catalytic interactions between rust and its environment, leading to the emission of gaseous compounds. Utilizing electronic noses (eNoses), specifically the AlphaMOS FOX4000 and the custom-built Warwick OLFaction (WOLF), we analyzed the chemical headspace of rusted samples in comparison with control samples. The results indicated discernible variations in the chemical compounds within the rusted sample environments, including mild steel, stainless steel, air, and corrosion accelerant blanks, over specified corrosion time intervals ranging from 1 h to two months. Principal component analysis (PCA) unveiled distinctive clusters among corroded samples at different time points, illustrating notable disparities between rusted and nonrusted samples, as well as variations among the corroded samples based on the duration of corrosion. Our findings demonstrate the potential of eNoses for noninvasive corrosion detection, with applications in maintaining structural integrity and enhancing safety in critical infrastructure.\",\"PeriodicalId\":447,\"journal\":{\"name\":\"IEEE Sensors Journal\",\"volume\":\"25 12\",\"pages\":\"22573-22579\"},\"PeriodicalIF\":4.3000,\"publicationDate\":\"2025-04-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10975116\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Sensors Journal\",\"FirstCategoryId\":\"103\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10975116/\",\"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/10975116/","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}
Detection of Rust Corrosion in Mild Steel and Stainless Steel Through Headspace Analysis by Electronic Noses
Corrosion poses a significant challenge across various industries, necessitating continuous monitoring to prevent catastrophic failures. This study explores an alternative noninvasive approach to corrosion detection by identifying by-products resulting from redox reactions or catalytic interactions between rust and its environment, leading to the emission of gaseous compounds. Utilizing electronic noses (eNoses), specifically the AlphaMOS FOX4000 and the custom-built Warwick OLFaction (WOLF), we analyzed the chemical headspace of rusted samples in comparison with control samples. The results indicated discernible variations in the chemical compounds within the rusted sample environments, including mild steel, stainless steel, air, and corrosion accelerant blanks, over specified corrosion time intervals ranging from 1 h to two months. Principal component analysis (PCA) unveiled distinctive clusters among corroded samples at different time points, illustrating notable disparities between rusted and nonrusted samples, as well as variations among the corroded samples based on the duration of corrosion. Our findings demonstrate the potential of eNoses for noninvasive corrosion detection, with applications in maintaining structural integrity and enhancing safety in critical infrastructure.
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