Metal Additive Manufacturing

Metal additive manufacturing (AM) focuses on creating three-dimensional metal objects layer-by-layer, aiming to improve efficiency, design flexibility, and material utilization. Current research emphasizes real-time process monitoring using advanced techniques like deep learning (e.g., convolutional neural networks, physics-informed neural networks) to predict and control melt pool temperature and geometry, and to detect defects. This field is significant due to its potential to revolutionize manufacturing across various sectors by enabling the production of complex, customized metal parts with enhanced properties and reduced waste, while also advancing robotics and sensor technologies.