Estrada-Díaz Jorge A, Elías-Zúñiga Alex, Martínez-Romero Oscar, Olvera-Trejo Daniel
School of Engineering and Science, Tecnologico de Monterrey, Av. E. Garza Sada 2501 Sur, Monterrey 64849, Mexico.
Materials (Basel). 2021 Mar 23;14(6):1571. doi: 10.3390/ma14061571.
In this work, a previously developed mathematical model to predict bulk density of SLMed (produced via Selective Laser Melting) component is enhanced by taking laser power, scanning speed, hatch spacing, powder's thermal conductivity and specific heat capacity as independent variables. Experimental data and manufacturing conditions for the selective laser melting (SLM) of metallic materials (which include aluminum, steel, titanium, copper, tungsten and nickel alloys) are adapted from the literature and used to evaluate the validity of the proposed enhanced model. A strong relation between dependent and independent dimensionless products is observed throughout the studied materials. The proposed enhanced mathematical model shows to be highly accurate since the computed root-mean-square-error values (RMSE) does not exceed 5 × 10. Furthermore, an analytical expression for the prediction of bulk density of SLMed components was developed. From this, an expression for determining the needed scanning speed, with respect to laser power, to achieve highly dense components produced via SLM, is derived.
在这项工作中，通过将激光功率、扫描速度、扫描间距、粉末的热导率和比热容作为自变量，对先前开发的用于预测选择性激光熔化（SLM）部件体密度的数学模型进行了改进。金属材料（包括铝、钢、钛、铜、钨和镍合金）选择性激光熔化（SLM）的实验数据和制造条件取自文献，并用于评估所提出的改进模型的有效性。在整个研究材料中观察到了因变量与自变量无量纲乘积之间的强关系。所提出的改进数学模型显示出高度准确性，因为计算得到的均方根误差值（RMSE）不超过5×10。此外，还开发了一个用于预测SLM部件体密度的解析表达式。由此，推导出了一个关于激光功率确定所需扫描速度以实现通过SLM生产的高密度部件的表达式。
