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Tool wear prediction in milling process using physics-informed machine learning and thermo-mechanical force model with monitoring applications

Farzad Pashmforoush, Arash Ebrahimi Araghizad, Erhan Budak

2025Journal of Manufacturing Systems18 citationsDOI

Topics & Concepts

Process (computing)Mechanical engineeringEngineeringManufacturing engineeringMachine learningComputer scienceMaterials scienceOperating systemAdvanced machining processes and optimizationAdvanced Machining and Optimization TechniquesMetal Alloys Wear and Properties
Tool wear prediction in milling process using physics-informed machine learning and thermo-mechanical force model with monitoring applications | Litcius