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Research on asymmetrical edge tool wear prediction in milling TC4 titanium alloy using deep learning

Yong Yang, Xuefeng Zhao, Lei Zhao

2022Measurement27 citationsDOI

Topics & Concepts

AutoencoderArtificial neural networkTool wearEnhanced Data Rates for GSM EvolutionMean squared errorTitanium alloyArtificial intelligenceFeature (linguistics)Computer scienceGeneralizationFeature extractionMachine learningMaterials sciencePattern recognition (psychology)MathematicsMachiningStatisticsAlloyMetallurgyPhilosophyLinguisticsMathematical analysisAdvanced machining processes and optimizationAdvanced Machining and Optimization TechniquesEngineering Technology and Methodologies
Research on asymmetrical edge tool wear prediction in milling TC4 titanium alloy using deep learning | Litcius