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Metal Additive Manufacturing Parts Inspection Using Convolutional Neural Network, Wenyuan Cui, Yunlu Zhang, Xinchang Zhang, Lan Li, Frank W. Liou
Metal Additive Manufacturing Parts Inspection Using Convolutional Neural Network, Wenyuan Cui, Yunlu Zhang, Xinchang Zhang, Lan Li, Frank W. Liou
Mechanical and Aerospace Engineering Faculty Research & Creative Works
Metal additive manufacturing (AM) is gaining increasing attention from academia and industry due to its unique advantages compared to the traditional manufacturing process. Parts quality inspection is playing a crucial role in theAMindustry, which can be adopted for product improvement. However, the traditional inspection process has relied on manual recognition, which could suffer from low efficiency and potential bias. This study presented a convolutional neural network (CNN) approach toward robust AM quality inspection, such as good quality, crack, gas porosity, and lack of fusion. To obtain the appropriate model, experiments were performed on a series of architectures. Moreover, data augmentation …