Milling Process

Milling, a crucial machining process, aims to achieve high-quality surface finishes and efficient material removal. Current research focuses on improving milling process monitoring and prediction through machine learning, employing algorithms like random forests, support vector machines, and deep learning models to analyze sensor data (e.g., cutting forces, vibrations) and images for tool wear and surface quality assessment. These advancements enable real-time optimization, predictive maintenance, and improved process control, leading to increased productivity, reduced costs, and enhanced product quality in manufacturing.