Temperature field characterization and optimization of temperature field distribution in pipe lining process based on electromagnetic induction heating system

It is a promising treatment strategy to use an induction heating system for pipe lining, which can void the low efficiency and difficult temperature control of the traditional flame and hot air heating. In this study, a novel finite element model of pipe scanning induction heating was established, a...

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Autores principales:	Yuzhong Wang, Xue Hu, Minghong Jiang, Jin Wang, Min Wei, Lixin Zhang
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Induction heating Pipe lining Finite elements model Temperature uniformity optimization Engineering (General). Civil engineering (General) TA1-2040
Acceso en línea:	https://doaj.org/article/dadefb506fc44b068d5d33ceebdf48d9
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spelling	oai:doaj.org-article:dadefb506fc44b068d5d33ceebdf48d92021-11-18T04:48:53ZTemperature field characterization and optimization of temperature field distribution in pipe lining process based on electromagnetic induction heating system2214-157X10.1016/j.csite.2021.101609https://doaj.org/article/dadefb506fc44b068d5d33ceebdf48d92021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2214157X21007723https://doaj.org/toc/2214-157XIt is a promising treatment strategy to use an induction heating system for pipe lining, which can void the low efficiency and difficult temperature control of the traditional flame and hot air heating. In this study, a novel finite element model of pipe scanning induction heating was established, and the reliability of the model was verified through experiments. In addition, through the Plackett-Burman design, the main factors affecting the temperature fluctuation at 5 mm of the lining layer are analyzed. Finally, based on the analysis results, the system parameters were optimized by response surface method and the parameter configuration of the induction heating system with the minimum temperature fluctuation of 5 mm lining layer was obtained. The model established in this paper greatly reduces the calculation time of the electromagnetic induction heating finite element model of the moving magnetic field. It can be applied to the temperature information prediction of the lining induction heating where high-temperature accuracy is required and provides a reference for the characterization of the lining induction heating system and its application in low-temperature heat treatment, and the modeling strategy can be extended to the characterization of the temperature field evolution of any mobile heat source.Yuzhong WangXue HuMinghong JiangJin WangMin WeiLixin ZhangElsevierarticleInduction heatingPipe liningFinite elements modelTemperature uniformity optimizationEngineering (General). Civil engineering (General)TA1-2040ENCase Studies in Thermal Engineering, Vol 28, Iss , Pp 101609- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Induction heating Pipe lining Finite elements model Temperature uniformity optimization Engineering (General). Civil engineering (General) TA1-2040
spellingShingle	Induction heating Pipe lining Finite elements model Temperature uniformity optimization Engineering (General). Civil engineering (General) TA1-2040 Yuzhong Wang Xue Hu Minghong Jiang Jin Wang Min Wei Lixin Zhang Temperature field characterization and optimization of temperature field distribution in pipe lining process based on electromagnetic induction heating system
description	It is a promising treatment strategy to use an induction heating system for pipe lining, which can void the low efficiency and difficult temperature control of the traditional flame and hot air heating. In this study, a novel finite element model of pipe scanning induction heating was established, and the reliability of the model was verified through experiments. In addition, through the Plackett-Burman design, the main factors affecting the temperature fluctuation at 5 mm of the lining layer are analyzed. Finally, based on the analysis results, the system parameters were optimized by response surface method and the parameter configuration of the induction heating system with the minimum temperature fluctuation of 5 mm lining layer was obtained. The model established in this paper greatly reduces the calculation time of the electromagnetic induction heating finite element model of the moving magnetic field. It can be applied to the temperature information prediction of the lining induction heating where high-temperature accuracy is required and provides a reference for the characterization of the lining induction heating system and its application in low-temperature heat treatment, and the modeling strategy can be extended to the characterization of the temperature field evolution of any mobile heat source.
format	article
author	Yuzhong Wang Xue Hu Minghong Jiang Jin Wang Min Wei Lixin Zhang
author_facet	Yuzhong Wang Xue Hu Minghong Jiang Jin Wang Min Wei Lixin Zhang
author_sort	Yuzhong Wang
title	Temperature field characterization and optimization of temperature field distribution in pipe lining process based on electromagnetic induction heating system
title_short	Temperature field characterization and optimization of temperature field distribution in pipe lining process based on electromagnetic induction heating system
title_full	Temperature field characterization and optimization of temperature field distribution in pipe lining process based on electromagnetic induction heating system
title_fullStr	Temperature field characterization and optimization of temperature field distribution in pipe lining process based on electromagnetic induction heating system
title_full_unstemmed	Temperature field characterization and optimization of temperature field distribution in pipe lining process based on electromagnetic induction heating system
title_sort	temperature field characterization and optimization of temperature field distribution in pipe lining process based on electromagnetic induction heating system
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/dadefb506fc44b068d5d33ceebdf48d9
work_keys_str_mv	AT yuzhongwang temperaturefieldcharacterizationandoptimizationoftemperaturefielddistributioninpipeliningprocessbasedonelectromagneticinductionheatingsystem AT xuehu temperaturefieldcharacterizationandoptimizationoftemperaturefielddistributioninpipeliningprocessbasedonelectromagneticinductionheatingsystem AT minghongjiang temperaturefieldcharacterizationandoptimizationoftemperaturefielddistributioninpipeliningprocessbasedonelectromagneticinductionheatingsystem AT jinwang temperaturefieldcharacterizationandoptimizationoftemperaturefielddistributioninpipeliningprocessbasedonelectromagneticinductionheatingsystem AT minwei temperaturefieldcharacterizationandoptimizationoftemperaturefielddistributioninpipeliningprocessbasedonelectromagneticinductionheatingsystem AT lixinzhang temperaturefieldcharacterizationandoptimizationoftemperaturefielddistributioninpipeliningprocessbasedonelectromagneticinductionheatingsystem
_version_	1718425070478557184

Temperature field characterization and optimization of temperature field distribution in pipe lining process based on electromagnetic induction heating system

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