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RISDeep Learning-Based Data Fusion Method for In Situ Porosity Detection in Laser-Based Additive Manufacturing
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Laser-based additive manufacturing (LBAM) provides unrivalled design freedom with the ability to manufacture complicated parts for a wide range of engineering applications. Melt pool is one of the most important signatures ...
Three-Dimensional X-Ray Computed Tomography Image Segmentation and Point Cloud Reconstruction for Internal Defect Identification in Laser Powder Bed Fused Parts
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Defects shape, volume, and orientation all have a direct impact on the mechanical properties of Laser Powder Bed Fused (L-PBF-ed) parts. Therefore, it is necessary to evaluate and analyze the three-dimensional (3D) geometrical ...
Adversarial Domain Adaptation for Improved Part-to-Part Generalization of Deep Learning Segmentation Models in Aerosol Jet Printing
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Abstract. The segmentation performance of deep learning (DL) models is highly dependent on the statistical/probabilistic distribution and characteristics of the data used during their training process. Unfortunately, the ...
Manufacturing Process Monitoring With Nonparametric Change-Point Detection in Automotive Industry
Publisher: American Society of Mechanical Engineers (ASME)
Abstract: Automatic sensing devices and computer systems have been widely adopted by the automotive manufacturing industry, which are capable to record machine status and process parameters nonstop. While a manufacturing process ...