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Temperature field characterization and optimization of temperature field distribution in pipe lining process based on electromagnetic induction heating system
Case Studies in Thermal Engineering ( IF 6.8 ) Pub Date : 2021-11-16 , DOI: 10.1016/j.csite.2021.101609
Yuzhong Wang 1 , Xue Hu 1 , Minghong Jiang 1 , Jin Wang 1 , Min Wei 1 , Lixin Zhang 1
Affiliation  

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.



中文翻译:

基于电磁感应加热系统的管道内衬过程温度场表征及温度场分布优化

管道内衬感应加热系统是一种很有前景的处理策略,可以避免传统火焰和热风加热效率低、温度控制困难的问题。本研究建立了一种新型的管道扫描感应加热有限元模型,并通过实验验证了模型的可靠性。此外,通过Plackett-Burman设计,分析了影响衬砌层5 mm处温度波动的主要因素。最后,根据分析结果,采用响应面法对系统参数进行优化,得到内衬层温度波动最小为5 mm的感应加热系统参数配置。本文建立的模型大大减少了移动磁场电磁感应加热有限元模型的计算时间。可应用于对温度精度要求较高的炉衬感应加热温度信息预测,为炉衬感应加热系统的表征及其在低温热处理中的应用提供参考,建模策略可扩展到任何移动热源的温度场演变的表征。

更新日期:2021-11-16
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