文献类型：期刊文献

英文题名：Numerical simulation and mathematical modeling for electromagnetic induction heating of spatially fixed micron-scale iron particles

作者：Wang, Jingxiao[1];Shen, Zhongjie[1];Xu, Jianliang[1];Liu, Haifeng[1,2]

机构：[1]East China Univ Sci & Technol, Natl Energy Coal Gasificat Technol Res & Dev Ctr, POB 272, Shanghai 200237, Peoples R China;[2]Liaoning Petrochem Univ, Fushun 113001, Liaoning, Peoples R China

年份：2026

卷号：283

外文期刊名：APPLIED THERMAL ENGINEERING

收录：;EI(收录号：20254619487008);WOS:【SCI-EXPANDED(收录号:WOS:001619312600004)】；

基金：This study is supported by China Baowu Low Carbon Metallurgy Innovation Foundation (BWLCF202212) , the National Natural Science Foundation of China (22378130 and U23B20170) .

语种：英文

外文关键词：Induction heating; Micron-scale; Iron particles; Numerical simulation

摘要：Electromagnetic induction heating (EIH) of micron-scale metal particles is crucial in green nanotechnology, high-efficiency catalysis, and advanced material synthesis, yet multi-parameter effects remain insufficiently characterized. This work establishes a Maxwell-based mathematical model to describe the induction heating of conductive particles and validates it against numerical simulations, achieving <2.42 % deviation. Parametric analysis reveals that temperature non-uniformity inside the coil is primarily governed by current, frequency, and particle size, with a dimensionless RNI of 0.05-0.32, while the effects of coil inner diameter and turn number remain weaker (RNI < 0.15). In the time domain, sensitivity analysis shows that current, frequency, and particle size exert the strongest positive influence on heating rate (all 0.60), followed by coil turns (0.41), whereas coil inner diameter displays a negative effect (-0.41). These findings quantitatively identify the dominant drivers of spatial uniformity and transient heating behavior, providing a more complete theoretical basis for induction heating design and optimization in particulate systems.