Investigation of Electrical Discharge Machining Micro Holes in CoCrFeNiZr<sub>0.5</sub> Eutectic High Entropy Alloys. [PDF]
Fan Q +5 more
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A reliable and inclusive method for assessing failure-causing mechanical wear in prosthetic feet. [PDF]
Berthaume MA +7 more
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Hi-MDTCN: Hierarchical Multi-Scale Dilated Temporal Convolutional Network for Tool Condition Monitoring. [PDF]
Chai A +8 more
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Research on Tool Wear Prediction Method Based on CNN-ResNet-CBAM-BiGRU. [PDF]
Sun B, Wang H, Zhang J, Zhang L, Wu X.
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Gaussian process regression with physics-guided pseudo-sample augmentation for wear prediction under sparse measurements in milling. [PDF]
Nguyen HP, Nguyen DT, Kim JM.
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Cutting parameter-tool material interaction on PcBN tool wear behaviour in ductile iron machining. [PDF]
Wang P, Li X, Jiu Y, Yin H, Zhang Y.
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A hybrid machine learning approach for reliably predicting surface roughness in CNC turning operations. [PDF]
Yurtkuran H +4 more
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I-Kaz methodology for predicting tool life of AlCrN-Coated WC-Co inserts in the machining of AISI 304 steel. [PDF]
Chinnasamy MP +3 more
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A Novel Tool Condition Monitoring Technique of Determining Insert Flank Wear Width of Indexable Face Milling Tools Using On-Machine Laser Tool Setters. [PDF]
Fang T, Chen Z, Feng H, Chen P, Chang Z.
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Advancing sustainable machining of inconel 718 through nanoparticle-enhanced coconut oil and RSM-GA optimization. [PDF]
Almomani O +9 more
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