• Fuzzy logic model effectively optimizes machining parameters, reducing surface roughness by up to 25% compared to conventional methods.
• The model demonstrates robustness in handling non-linear relationships between spindle speed, feed rate, and depth of cut.
• Experimental validation on aluminum alloy 6061 confirms the practical applicability of the proposed approach in industrial settings.
• Integration of fuzzy logic with adaptive control systems can lead to significant improvements in manufacturing efficiency and product quality.