Prediction of the Emissivity Curve at High Temperatures of Low Carbon Steel

Vinicius Santos de Deus, J. A. Castro, S. Correa
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引用次数: 1

Abstract

The thermography is an attractive technique to record the real-time temperature during the continuous welding processes. The temperature distribution during the weld zone is essential for understanding and evaluating the metallurgical properties of the joints. The knowledge of the material emissivity curve is necessary for the precise acquisition of thermography data. This emissivity value is usually assumed constant in the thermography software data acquisition, resulting in inaccurate thermographic data. The surface emissivity usually depends on the temperature. Thus, the values obtained in the literature may not be valid for materials of interest under the process’s conditions. Especially in the case of the low carbon steels, the emissivity data available are scarce and frequently obtained at low temperatures (below 200oC). Therefore, we proposed a methodological procedure to measure the effective surface emissivity, which considers the effect of temperatures and surface conditions. This research was focused on the development of an experimental methodology for determining the emissivity curve, using as the sample, a low carbon steel (0.07% C) with 0.21 mm thickness obtained from the productive stock of a continuous annealing line in the steel plant of the Companhia Siderurgica Nacional (CSN). The normal sample emissivity was evaluated in the temperature range from 100oC to 800oC. It was proposed a model based on a sigmoid function to represent the effective emissivity during temperature rise. The sigmoid model parameters were obtained by a fitting procedure using temperature measurements obtained by thermocouples. The results showed an effective emissivity variation as a function of temperature, where emissivity values raged in the interval of 0.09 to 0.83. Thus, the useful emissivity curve was used to correct the thermography data obtained in electrical resistance seam welding (RSEW) with three levels of heats inputs. The correlation for the emissivity curve incorporated in the thermography software was applied to the thermal profiles of the welds analyzed from 441oC to 713oC. These values are consistent with the welding process used. The developed methodology can be applied, in a similar way, in the correction of profiles in other types of welding processes.
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低碳钢高温发射率曲线的预测
热成像技术是一种记录连续焊接过程中实时温度的有吸引力的技术。焊接区的温度分布对于了解和评价接头的冶金性能至关重要。材料发射率曲线的知识是精确获取热成像数据所必需的。在热成像软件数据采集中,通常假设该发射率值为常数,导致热成像数据不准确。表面发射率通常取决于温度。因此,在该工艺条件下,文献中获得的值可能对感兴趣的材料无效。特别是在低碳钢的情况下,可用的发射率数据很少,并且经常在低温(低于200℃)下获得。因此,我们提出了一种考虑温度和表面条件影响的有效表面发射率测量方法。本研究的重点是开发一种用于确定发射率曲线的实验方法,以一种厚度为0.21 mm的低碳钢(0.07% C)为样本,该低碳钢来自Companhia Siderurgica Nacional (CSN)钢厂连续退火生产线的生产原料。在100 ~ 800℃的温度范围内测量了正常样品的发射率。提出了一种基于s型函数的有效发射率模型。利用热电偶测得的温度,通过拟合程序获得了s型模型参数。结果表明,辐射率随温度的变化是有效的,辐射率值在0.09 ~ 0.83之间波动。因此,利用有用的发射率曲线对电阻缝焊(RSEW)中三阶热输入的热成像数据进行了校正。将热像仪软件中包含的发射率曲线的相关性应用于从441oC到713oC分析的焊缝热剖面。这些值与所使用的焊接工艺一致。所开发的方法可以以类似的方式应用于其他类型焊接工艺的轮廓校正。
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