Weaver Jordan S, Heigel Jarred C, Lane Brandon M
National Institute of Standards and Technology, Engineering Laboratory, Gaithersburg, MD USA.
Third Wave Systems, Eden Prairie, MN 55344, USA.
J Mater Process Technol. 2022 Jan;73. doi: 10.1016/j.jmapro.2021.10.053.
Laser powder bed fusion (L-PBF) additive manufacturing (AM) requires the careful selection of laser process parameters for each feedstock material and machine, which is a laborious process. Scaling laws based on the laser power, speed, and spot size; melt pool geometry; and thermophysical properties can potentially reduce this effort by transferring knowledge from one material and/or laser system to another. Laser spot size is one critical parameter that is less well studied for scaling laws compared to laser power and scan speed. Consequently, single track laser scans were generated with a spot size () range of 50 μm to 322 μm and melt pool aspect ratio (depth over spot radius) range from 0.1 to 7.0. These were characterized by in-situ thermography, cross-sectioning, and optical microscopy. Scaling laws from literature were applied and evaluated based on melt pool depth predictions. Scaling laws that contain a minimum of three dimensionless parameters and account for changing absorption between conduction and keyhole mode provide the most accurate melt pool depth predictions (< 35 % difference from experiments), which is comparable to thermal simulation results from literature for a select number of cases.
激光粉末床熔融(L-PBF)增材制造(AM)需要针对每种原料材料和机器仔细选择激光工艺参数,这是一个费力的过程。基于激光功率、速度和光斑尺寸、熔池几何形状以及热物理性质的比例定律,有可能通过将知识从一种材料和/或激光系统转移到另一种材料和/或激光系统来减少这项工作。与激光功率和扫描速度相比,激光光斑尺寸是比例定律中研究较少的一个关键参数。因此,生成了光斑尺寸()范围为50μm至322μm且熔池长宽比(深度与光斑半径之比)范围为0.1至7.0的单道激光扫描。通过原位热成像、切片和光学显微镜对其进行了表征。基于熔池深度预测应用并评估了文献中的比例定律。包含至少三个无量纲参数并考虑传导模式和小孔模式之间吸收率变化的比例定律能提供最准确的熔池深度预测(与实验的差异<35%),这与文献中针对部分案例的热模拟结果相当。