Profile Extrusion

Profile extrusion, a key process in additive manufacturing and other industrial applications, focuses on shaping materials—often polymers—through a die to create desired profiles. Current research emphasizes improving process control and prediction through data-driven methods, including machine learning models (e.g., convolutional autoencoders, reinforcement learning) to optimize parameters like extrusion temperature and speed, predict surface roughness, and detect defects. These advancements aim to enhance the efficiency, precision, and reliability of extrusion-based manufacturing, impacting fields ranging from robotics to construction through improved product quality and reduced waste.