论文标题
用于激光粉末床融合的前馈控制的经验模型
An empirical model for feedforward control of laser powder bed fusion
论文作者
论文摘要
尽管最近在实时熔体池融合（LPBF）的实时熔体池监测中取得了长足的进步，但基于原位熔体池控制的结果相对稀疏，这是缺乏合适的控制模型的主要原因。这项研究证明了基于模型的激光功率的基于模型的前馈控制器的几何依赖性熔体行为的经验控制模型，以及随后的熔体池调节。首先，它表明熔融池“足迹”成倍增加时，扫描线变短。这种行为的经验模型是在不同激光功率水平的不同几何形状上开发和验证的。其次，开发的模型用于设计用于获得最佳激光功率配置文件的前馈控制器。然后，对该控制器进行实验验证，并证明可以抑制不同部分几何形状的层内几何相关的熔融池信号偏差。
While considerable progress has recently been made in real-time melt pool monitoring for laser powder bed fusion (LPBF), results in in-situ melt pool control are relatively sparse, a major reason being lack of suitable control-oriented models. This study demonstrates an empirical control-oriented model of geometry-dependent melt pool behavior, and subsequent melt pool regulation with a model-based feedforward controller for laser power. First, it shows that the melt pool "footprint" exponentially increases when the scan lines become shorter. The empirical model of this behavior is developed and validated on different geometries at different laser power levels. Second, the developed model is used to design a feedforward controller for obtaining optimal laser power profiles. This controller is then validated experimentally and is demonstrated to suppress the in-layer geometry-related melt pool signal deviations, for different part geometries.
