This article explores optimizing feed rate and spindle speed in machining to achieve consistent dimensional accuracy. Covering empirical models, simulations, and machine learning, it provides practical insights and industry examples for manufacturing engineers.
This article examines how to synchronize machining parameters for better surface quality, covering setup, operational, and processing factors. It explores statistical and ML methods with practical examples, addressing challenges and future trends for engineers.
