Layer-Wise Melt Pool Temperature Evolution in Laser Powder Bed Fusion: An Experimental Study Using a Single Camera Based Two-Wavelength Imaging Pyrometry

Chaitanya Krishna Prasad Vallabh, Shawn Hinnebusch, A. To, Xiayun Zhao
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Abstract

In metal additive manufacturing (AM) the layer-wise thermal history is crucial for its effect on the print part properties, such as, microstructure, porosity, and mechanical strength. Literature studies for evaluating the part thermal history are typically based on in-situ infrared thermography and thermal modeling. However, the effect of melt pool temperature on the part thermal history has not been widely studied. In this preliminary work, for the first time we present a large and comprehensive in-situ monitored, layer-wise melt pool temperature evolution data for laser powder bed fusion (LPBF) AM. The melt pool temperature is evaluated using an in-house Single Camera Two-Wavelength Imaging Pyrometry (STWIP) system. The melt pool temperature evolution was evaluated for three different prints with different inter-layer-times and print heights. The melt pool temperature history trends presented in this work are in agreement with literature studies on part-thermal histories. The LPBF process signatures from our STWIP system can help develop more accurate thermal models with the melt pool temperature as the input and the unique capability of the STWIP system to acquire and analyze large amounts data facilitates the development of machine learning models for estimating part properties based on the process signatures.
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激光粉末床熔合层熔池温度演变:基于单相机双波长成像热分析法的实验研究
在金属增材制造(AM)中,分层热历史对打印部件性能(如微观结构、孔隙率和机械强度)的影响至关重要。评估零件热历史的文献研究通常基于原位红外热成像和热建模。然而,熔池温度对零件热历史的影响尚未得到广泛的研究。在这项初步工作中,我们首次提供了激光粉末床熔融(LPBF) AM的大型和全面的原位监测,分层熔池温度演变数据。使用内部单相机双波长成像热测量(STWIP)系统评估熔池温度。对三种不同层间次数和打印高度下的熔池温度演化进行了评价。本文提出的熔池温度历史趋势与部分热历史的文献研究一致。来自STWIP系统的LPBF过程特征可以帮助开发更准确的热模型,将熔池温度作为输入,STWIP系统获取和分析大量数据的独特能力有助于开发机器学习模型,用于基于过程特征估计零件性能。
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