  Friction Stir Welding is a robust joining process, and numerous AI-based
algorithms are being developed in this field to enhance mechanical and
microstructure properties. Convolutional Neural Networks (CNNs) are Artificial
Neural Networks that use image data as input. Identical to Artificial Neural
Networks, they are composed of weights that are determined throughout learning,
neurons (activated functions), and a goal (loss function). CNN is utilized in a
variety of applications, including image recognition, semantic segmentation,
image recognition, and localization. Utilizing training on 3000 microstructure
pictures and new tests on 300 microstructure photographs, the current work
investigates the predictions of Friction Stir Welded joint effectiveness using
microstructure images.
