This article examines thermal expansion in machining across titanium, aluminum, and stainless steel alloys, using recent studies to predict and manage expansion patterns. It covers physics, modeling, and practical applications for manufacturing engineers.
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.
