Study of a multicriterion decision-making approach to the MQL turning of AISI 304 steel using hybrid nanocutting fluid

INIS

• steels 100%
• decision making 100%
• hybrids 100%
• fluids 100%
• lubrication 100%
• machining 80%
• nanofluids 80%
• depth 60%
• optimization 60%
• surfaces 40%
• concentration 40%
• roughness 40%
• cutting fluids 40%
• comparative evaluations 20%
• solutions 20%
• design 20%
• cost 20%
• aluminium oxides 20%
• speed 20%
• cutting 20%
• performance 20%
• velocity 20%
• health hazards 20%
• weight 20%
• nanoparticles 20%
• surface forces 20%

Engineering

• Minimum Quantity Lubrication 100%
• Feed Rate 66%
• Hybrid Nanofluid 66%
• Nanofluid 66%
• Cutting Fluid 66%
• Multiobjective Optimization 33%
• Similarities 33%
• Input Parameter 33%
• Cutting Speed 33%
• Process Parameter 33%
• Machining Performance 33%
• Desired Target 33%
• Multiobjective Problem 33%
• Ideal Solution 33%
• Nanoparticles 33%
• Aluminum Oxide 33%
• Decision Maker 33%
• Optimization Technique 33%
• Response Surface Methodology 33%

Material Science

• Machining 100%
• Lubrication 100%
• Surface Roughness 50%
• Cutting Fluid 50%
• Nanoparticle 25%
• Aluminum Oxide 25%
• Surface (Surface Science) 25%