Laser powder bed fusion (LPBF) as a metal additive manufacturing process enables the fabrication of complex parts with various alloys. However, its potential of industry applications is limited by the variability of build qualities. The microstructures of the build are influenced by thermal history and melt flow. To overcome the limitation of conventional sensing methods for measuring the temperature and velocity fields in the melt pool, a novel technique called physics based compressive sensing (PBCS) is proposed. Based on some temperature measurements on the top surface of melt pool and a multiphysics model, PBCS can recover and reconstruct the complete temperature and velocity fields in three dimensions. The PBCS results are validated with experimental data from traditional infrared thermal imaging and x-ray imaging. With the proposed PBCS, the cost-effectiveness of LPBF process monitoring can be significantly improved.

激光粉末床融合 (LPBF) 作为一种金属增材制造工艺，可以用各种合金制造复杂的零件。然而，其工业应用的潜力受到构建质量可变性的限制。构建的微观结构受热历史和熔体流动的影响。为了克服用于测量熔池中温度和速度场的传统传感方法的局限性，提出了一种称为基于物理的压缩传感 (PBCS) 的新技术。基于熔池顶面的一些温度测量和多物理场模型，PBCS 可以在三个维度上恢复和重建完整的温度和速度场。PBCS 结果得到了来自传统红外热成像和 X 射线成像的实验数据的验证。使用拟议的 PBCS，