{"title":"Characterisation and decoupling of electromagnetic properties in liquid–solid system using high-frequency electromagnetic tomography","authors":"Xun Zou, Kuohai Yu, Yu Li, Saibo She, Xinnan Zheng, Shu Lin, Wuliang Yin","doi":"10.1016/j.measurement.2026.120996","DOIUrl":null,"url":null,"abstract":"<div><div>In the liquid–solid fluidised system with conductive fluid and magnetic catalysts, the monitoring of electrical conductivity and magnetic permeability is essential to maintain the desired operating conditions. Conventional electromagnetic tomography (EMT) techniques applied to fluidised beds are limited to magnetic phase detection, while conductivity measurements still rely on contact methods or multimodal integration. Therefore, this study presents a non-contact approach for the characterisation and decoupling of electromagnetic properties in solid–liquid systems with a high-frequency EMT sensor. A pre-calibrated vector decomposition method is developed for the simultaneous estimation of conductivity and permeability. The effectiveness of the method is verified through experiments with magnetite saline dispersions in various concentrations, which give average estimation errors of 3.44% and 0.16% for the conductivity and permeability estimation, respectively. In the imaging experiments, a modified Landweber algorithm integrating Nesterov momentum and weight assignment is developed and applied to the reconstruction, contributing to fast convergence and enhanced image quality. Furthermore, distributions of conductive phase and magnetic phase are decoupled through the reconstruction of distinct voltage response components.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"272 ","pages":"Article 120996"},"PeriodicalIF":6.1000,"publicationDate":"2026-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Measurement","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0263224126007050","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/3/5 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
In the liquid–solid fluidised system with conductive fluid and magnetic catalysts, the monitoring of electrical conductivity and magnetic permeability is essential to maintain the desired operating conditions. Conventional electromagnetic tomography (EMT) techniques applied to fluidised beds are limited to magnetic phase detection, while conductivity measurements still rely on contact methods or multimodal integration. Therefore, this study presents a non-contact approach for the characterisation and decoupling of electromagnetic properties in solid–liquid systems with a high-frequency EMT sensor. A pre-calibrated vector decomposition method is developed for the simultaneous estimation of conductivity and permeability. The effectiveness of the method is verified through experiments with magnetite saline dispersions in various concentrations, which give average estimation errors of 3.44% and 0.16% for the conductivity and permeability estimation, respectively. In the imaging experiments, a modified Landweber algorithm integrating Nesterov momentum and weight assignment is developed and applied to the reconstruction, contributing to fast convergence and enhanced image quality. Furthermore, distributions of conductive phase and magnetic phase are decoupled through the reconstruction of distinct voltage response components.
期刊介绍:
Contributions are invited on novel achievements in all fields of measurement and instrumentation science and technology. Authors are encouraged to submit novel material, whose ultimate goal is an advancement in the state of the art of: measurement and metrology fundamentals, sensors, measurement instruments, measurement and estimation techniques, measurement data processing and fusion algorithms, evaluation procedures and methodologies for plants and industrial processes, performance analysis of systems, processes and algorithms, mathematical models for measurement-oriented purposes, distributed measurement systems in a connected world.