Lane Brandon, Heigel Jarred, Ricker Richard, Zhirnov Ivan, Khromschenko Vladimir, Weaver Jordan, Phan Thien, Stoudt Mark, Mekhontsev Sergey, Levine Lyle
Engineering Laboratory, NIST, Gaithersburg, MD, USA.
Materials Measurement Laboratory, NIST, Gaithersburg, MD, USA.
Integr Mater Manuf Innov. 2020;9(1). doi: 10.1007/s40192-020-00169-1.
The complex physical nature of the laser powder bed fusion (LPBF) process warrants use of multiphysics computational simulations to predict or design optimal operating parameters or resultant part qualities such as microstructure or defect concentration. Many of these simulations rely on tuning based on characteristics of the laser-induced melt pool, such as the melt pool geometry (length, width, and depth). Additionally, many of numerous interacting variables that make LPBF process so complex can be reduced and controlled by performing simple, single track experiments on bare (no powder) substrates, yet still produce important and applicable physical results. The 2018 Additive Manufacturing Benchmark (AM Bench) tests and measurements were designed for this application. This paper describes the experiment design for the tests conducted using LPBF on bare metal surfaces, and the measurement results for the melt pool geometry and melt pool cooling rate performed on two LPBF systems. Several factors, such as accurate laser spot size, were determined after the 2018 AM Bench conference, with results of those additional tests reported here.
激光粉末床熔融(LPBF)工艺复杂的物理特性使得有必要使用多物理场计算模拟来预测或设计最佳操作参数,或预测或设计诸如微观结构或缺陷浓度等最终零件质量。许多此类模拟依赖于基于激光诱导熔池的特性进行调整,例如熔池几何形状(长度、宽度和深度)。此外,通过在裸露(无粉末)基板上进行简单的单道实验,可以减少和控制使LPBF工艺如此复杂的众多相互作用变量中的许多变量,但仍能产生重要且适用的物理结果。2018年增材制造基准(AM Bench)测试和测量就是为此应用而设计的。本文描述了在裸露金属表面上使用LPBF进行测试的实验设计,以及在两个LPBF系统上进行的熔池几何形状和熔池冷却速率的测量结果。2018年AM Bench会议之后确定了几个因素,如精确的激光光斑尺寸,此处报告了那些额外测试的结果。