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This document summarizes a study on estimating milling tool wear based on regression analysis and fuzzy logic modeling using cutting power signals. The study conducted a series of milling experiments to determine the relationship between flank wear and cutting power as well as other cutting parameters. Regression analysis and fuzzy logic were then used to establish a network model relating tool wear to cutting power indirectly. The results indicated that tool wear is more sensitive to cutting feed power. Th

Author

erpublication

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EN