The effect of absorption ratio on meltpool features in laser-based powder bed fusion of IN718
The effect of absorption ratio on meltpool features in laser-based powder bed fusion of IN718
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DOI：
10.1016/j.optlastec.2022.108263
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发表时间：
2022-05-07
影响因子：
5
通讯作者：
Rolfe, Bernard
中科院分区：
文献类型：
--
作者：
Khorasani, Mahyar;Ghasemi, AmirHossein;Rolfe, Bernard
这项研究的目的是建立一个混合的实验和计算模型来估计IN718的激光基粉末床融合(LB-PBF)对激光的吸收。这项研究还旨在寻找关于吸收比对熔池形态影响的潜在知识。该模型有助于提高熔池形态和熔体轨迹流变性的预测精度，以及过程中与温度有关的现象。本文模拟了恒定和动态/(依赖于工艺参数)吸收比的两个初始测试集。打印了不同工艺参数的熔体轨迹，并从低能量密度到高能量密度进行了模拟。然后，改变每次模拟的吸收比(AR)，直到得到与实验结果相同的熔池深度。在下一步中，根据执行的模拟测量激光与材料相互作用区域的熔池温度。基于获得的温度和工艺参数，建立了一个数学模型来估算不同条件下的吸收比。在混合计算和实验条件下对模型进行了验证。本研究提供了第一个基于熔池温度和工艺参数来计算LB-PBF吸收比的模型。结果表明，所建立的模型显著提高了材料熔融状态下熔池温度、流变性和热物性等熔池特征参数的估计精度。
The purpose of this research is to develop a hybrid experimental and computational model to estimate the absorption of the laser for Laser-Based Powder Bed Fusion (LB-PBF) of IN718. The research also aims to find an underlying knowledge on the effect of absorption ratio on meltpool morphology. This model helps to improve the accuracy of the prediction of the meltpool morphology and the rheology of the melt tracks as well as the temperature-related phenomena in the process. In this paper, two test sets for the initial test with constant and dynamic/(process parameters dependent) absorption ratios were simulated. Melt tracks with different process parameters are printed and simulated from low to high energy density. Then, the Absorption Ratio (AR) is changed for each simulation until the same meltpool depth as the experimental results is obtained. In the next step, the temperature of the meltpool in the interaction area of the laser and material is measured from the performed simulations. Based on the obtained temperature and process parameters, a mathematical model is developed to estimate the absorption ratio in different conditions. The model is validated in hybrid computational and experimental conditions. The investigation provides the first model to calculate the absorption ratio in LB-PBF based on the temperature of the meltpool and process parameters. Results show that the developed model significantly enhances the accuracy of estimating meltpool features such as temperature, rheological and thermophysical properties of the material in the melting state.