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首页> 外文期刊>ISIJ international >An Induction Heating Analysis with Consideration of Temperature Dependent B-H Curves and Change in Phase Transformation under Rapid Heating
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An Induction Heating Analysis with Consideration of Temperature Dependent B-H Curves and Change in Phase Transformation under Rapid Heating

机译：快速加热条件下B-H曲线和相变变化的感应加热分析

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Induction heating (IH) is commonly used for heating and heat treatment. An accurate prediction of temperature distribution is required to optimize the heating parameters, such as the heating coil dimensions, coil current, and heating time, without trial and error. In this study, temperature-dependent B-H curves and changes in phase transformation under rapid heating were measured and used for IH analysis to improve the prediction accuracy. IH experiments were also carried out to confirm the accuracy of the analysis. Consideration of the temperature-dependent B-H curves improved the prediction accuracy up to the Curie temperature, and consideration of changes in phase transformation temperature under rapid heating improved the accuracy for temperatures above the Ac_(1) temperature. The maximum error between the experimental and calculation results for a columnar test piece was approximately 25 K, when the experimental temperature was 1300 K. This error is 9 times smaller than that obtained with a conventional analysis method. Good agreement was also obtained between the experimental and calculated values for a test piece with a convex projection, for which the temperature distribution and evolution are complex.
机译：感应加热（IH）通常用于加热和热处理。需要准确的温度分布预测来优化加热参数，例如加热线圈尺寸，线圈电流和加热时间，而无须反复试验。在这项研究中，测量了依赖温度的B-H曲线和快速加热下的相变变化，并将其用于IH分析以提高预测精度。还进行了IH实验，以确认分析的准确性。考虑到温度相关的B-H曲线可提高直到居里温度的预测精度，而考虑快速加热下相变温度的变化可提高Ac_（1）温度以上温度的精度。当实验温度为1300 K时，柱状试件的实验结果与计算结果之间的最大误差约为25K。该误差比常规分析方法小9倍。对于具有凸状凸起的试样，其温度分布和演化较为复杂，在实验值和计算值之间也获得了很好的一致性。

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