ESAFORM2024

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Artificial Intelligence techniques and Internet of things sensors for tool condition monitoring in milling: A review
Combining experimental and FEM approaches to determine the influence of workpiece temperature on fundamental variables in the machining process
Identification of friction coefficient between uncoated carbide tool and Ti-6Al-4V alloy under different lubrication conditions
Digital image processing algorithm for industrial on-site roughness evaluation in Ti-alloy machining
Comparison of artificial intelligence techniques for cutting tool condition monitoring
Study of cutting force in milling of aluminum-lithium alloy
Impact of machining strategy on OFE copper for SRF applications
Fatigue strength of Ti6Al4V titanium alloy machined under flood and cryogenic conditions
Influence of the depth of cut on the AM nitinol properties in flood and cryogenic machining
Analysis of the influence of the initial surface integrity on the result of burnished high torque splined shafts
Effect of the hatch spacing in laser powder bed fusion on the AlSi7Mg aluminum alloy cutting forces and surface finish after turning
Green machining of Ti6Al4V/Polymers composite made by pellets additive manufacturing