YÖKSİS Makale Veritabanı

Prediction and classification of tool wear and its state in sustainable machining of Bohler steel with different machine learning models

Investigation of the Effects of Cooling and Lubricating Strategies on Tribological Characteristics in Machining of Hybrid Composites

Investigation of the Effects of Cooling and Lubricating Strategies on Tribological Characteristics in Machining of Hybrid Composites

Advance monitoring of hole machining operations via intelligent measurement systems: A critical review and future trends

Advance monitoring of hole machining operations via intelligent measurement systems: A critical review and future trends

Investigation of the Effects of Cooling and Lubricating Strategies on Tribological Characteristics in Machining of Hybrid Composites

Tool wear patterns and their promoting mechanisms in hybrid cooling assisted machining of titanium Ti-3Al-2.5V/grade 9 alloy

Machining induced tribological investigations in sustainable milling of Hardox 500 steel: A new approach of measurement science

Characterizing Machining Indicators with Machine Learning Models Under Cellulose Nanocrystal and Graphene-Based Nanofluid Conditions

Characterizing Machining Indicators with Machine Learning Models Under Cellulose Nanocrystal and Graphene-Based Nanofluid Conditions

Potential use of cryogenic cooling for improving the tribological and tool wear characteristics while machining aluminum alloys

Studies on Geometrical Features of Tool Wear and Other Important Machining Characteristics in Sustainable Turning of Aluminium Alloys

Machining characterization and optimization under different cooling/lubrication conditions of Al-4Gr hybrid composites fabricated by vacuum sintering

Effect of Cooling/Lubrication Conditions on Machining Performance: An Experimental Investigation of 1040 Steel Under Dry, MQL, and Nano-MQL Environments

Effect of Cooling/Lubrication Conditions on Machining Performance: An Experimental Investigation of 1040 Steel Under Dry, MQL, and Nano-MQL Environments

Optimisation of parameters affecting surface roughness of Co28Cr6Mo medical material during CNC lathe machining by using the Taguchi and RSM methods

Energy Saving by Parametric Optimization and Advanced Lubri-Cooling Techniques in the Machining of Composites and Superalloys: A Systematic Review

Sustainable Lubrication Strategies in Eco-friendly Machining of AISI 4140 Steel: Performance and Environmental Impact Analysis Using Machine Learning

Sustainable Lubrication Strategies in Eco-friendly Machining of AISI 4140 Steel: Performance and Environmental Impact Analysis Using Machine Learning

Comparison of Tool Wear, Surface Morphology, Specific Cutting Energy and Cutting Temperature in Machining of Titanium Alloys Under Hybrid and Green Cooling Strategies