Rozin Enamul Hasan, Sultan Tipu, Taheri Hossein, Cetinkaya Cetin
Photo-Acoustics Research Laboratory, Department of Mechanical and Aerospace Engineering, Clarkson University, Potsdam, New York, USA.
Department of Manufacturing Engineering, Georgia Southern University, Statesboro, Georgia, USA.
3D Print Addit Manuf. 2024 Dec 16;11(6):1982-1995. doi: 10.1089/3dp.2023.0063. eCollection 2024 Dec.
Unlike many conventional manufacturing techniques, 3D Printing/Additive Manufacturing (3DP/AM) fabrication creates builds with unprecedented degrees of structural and geometrical complexities. However, uncertainties in 3DP/AM processes and material attributes could cause geometric and structural quality issues in resulting builds and products. Evaluating the sensitivity of process parameters and material properties for process optimization, quality assessment, and closed-loop control is crucial in practice. This study presents a framework for a nondestructive real-time ultrasonic monitoring approach based on the temporal and spectral dispersion analyses of specially designed artifacts with periodic internal structures called Phononic Crystal Artifacts (PCAs). The framework's effectiveness for monitoring of laser beam power in a Selective Laser Melting (SLM) process is experimentally demonstrated. A PCA is significantly simpler and/or smaller than the actual build, but it represents a specific subset of its geometric and mechanical features and complexities, which are relevant to the objectives of a quality monitoring program. Specifically, the influence of the SLM printer laser beam power on the ultrasonic responses and dispersion properties of stainless steel 316L PCAs is evaluated. Two sensing strategies based on cross-correlation and spectral dispersion analysis of ultrasonic waves transmitted in the artifacts are presented and utilized for evaluating the effect of laser power level on the mechanical and microgeometric properties of fabricated PCAs. The reported novel framework's potential in critical quality monitoring applications for real-time quality assessment of 3DP/AM processes is also discussed.
与许多传统制造技术不同,3D打印/增材制造(3DP/AM)制造能够创建具有前所未有的结构和几何复杂性的构件。然而,3DP/AM工艺和材料属性中的不确定性可能会在最终的构件和产品中导致几何和结构质量问题。在实践中,评估工艺参数和材料特性的敏感性以进行工艺优化、质量评估和闭环控制至关重要。本研究提出了一个基于对具有周期性内部结构的特殊设计工件(称为声子晶体工件,PCAs)进行时间和频谱色散分析的无损实时超声监测方法框架。通过实验证明了该框架在选择性激光熔化(SLM)工艺中监测激光束功率的有效性。一个PCA比实际构件显著更简单和/或更小,但它代表了其几何和机械特征及复杂性的一个特定子集,这些特征与质量监测程序的目标相关。具体而言,评估了SLM打印机激光束功率对不锈钢316L PCAs超声响应和色散特性的影响。提出了两种基于在工件中传播的超声波的互相关和频谱色散分析的传感策略,并用于评估激光功率水平对制造的PCAs机械和微观几何特性的影响。还讨论了所报道的新颖框架在3DP/AM工艺实时质量评估的关键质量监测应用中的潜力。