Flood Aaron, Liou Frank
Mechanical and Aerospace Engineering, Missouri University of Science and Technology, Rolla, Missouri, USA.
3D Print Addit Manuf. 2024 Dec 16;11(6):1961-1970. doi: 10.1089/3dp.2023.0054. eCollection 2024 Dec.
Due to the high cost of each experimental run in additive manufacturing (AM), there has been a drive to develop simulations that can find the optimal processing parameters. The accuracy of these simulations is dependent on the accuracy of the material parameters recorded in literature. These reported parameters can vary widely resulting in differing simulation results. For that reason, it is necessary to determine which parameters are the driving parameters. This will allow for only critical parameters to be experimentally found resulting in more accurate simulations faster. This article uses a Plackett-Burman design of experiment to screen for the material properties with the greatest effect on the results of a thermal mathematical model of a laser-based directed energy deposition (DED) AM process. It was found that variances in the absorption of the laser at 880 and 922 K along with variances in the thermal conductivity at 922 K have the largest effect on the range of the response variables that were used to characterize the melt pool. Having a smaller impact on the results are the thermal conductivity at 1491 K and the specific heat at 733 K, and the remainder of the factors have a negligible effect on the melt pool characteristics within the simulation.
由于增材制造(AM)中每次实验运行成本高昂,因此人们一直致力于开发能够找到最佳工艺参数的模拟方法。这些模拟的准确性取决于文献中记录的材料参数的准确性。这些报告的参数可能差异很大,从而导致模拟结果不同。因此,有必要确定哪些参数是驱动参数。这将使得只需通过实验找到关键参数,就能更快地获得更准确的模拟结果。本文采用Plackett-Burman实验设计来筛选对基于激光的定向能量沉积(DED)增材制造工艺热数学模型结果影响最大的材料特性。研究发现,880K和922K时激光吸收率的变化以及922K时热导率的变化对用于表征熔池的响应变量范围影响最大。1491K时的热导率和733K时的比热容对结果的影响较小,其余因素对模拟中的熔池特性影响可忽略不计。