Míreanna comhchosúla: EFFECTIVENESS OF HIGH-SPEED MACHINING ON HARDEN DIE STEEL UNDER NANO PARTICLE BASED MQL (MINIMUM QUANTITY LUBRICANT) APPLICATION /
- HIGH SPEED MACHINING OF TIGA14V USING HYBRID NANOFLUID BASED MINIMUM QUANTITY LUBRICATION (HNMOL) /
- OPTIMIZATION OF MACHINING PARAMETERS IN HIGH-SPEED END MILLING OF INCONEL 718 USING WC TOOLS UNDER NANO PARTICLES BASED MQL APPLICATIONS USING RSM AND GA APPROACH /
- MULTI-OBJECTIVE OPTIMIZATION OF PARAMETERS IN HIGH-SPEED MACHINING OF H13 UNDER HYBRID NANO-MQL USING RSM, GA AND MOPSO /
- INFLUENCE OF MACHINING PARAMETERS IN HIGH-SPEED END MILLING OF TI-6AL-4V USING UNCOATED WC TOOLS UNDER NANO ABRASIVE BASED MQL APPLICATION USING RSM AND GA APPROACH /
- Die Young /
- OPTIMIZATION OF MACHINING PARAMETERS IN HIGH-SPEED MACHINING OF HARDENED DIE STEEL – AISI H13 USING MULTILAYER – PVD COATED WC TOOLS USING RSM AND GA
Topaic: Industrial and Production Engineering.
- INVESTIGATION OF HARDENED CUTTING TOOL FOR TURNING OF MILD STEEL IN DRY CUTTING METHOD /
- PERFORMANCE ANALYSIS OF EAF DUST REINFORCED ALUMINIUM BASED METAL MATRIX COMPOSITE /
- OPTIMIZATION OF INBOUND LOGISTICS OF FMCG AND AUTOMOBILE INDUSTRY USING FLEXSIM /
- REVERSE LOGISTICS NETWORK DESIGN FOR SEMICONDUCTOR SUPPLY CHAIN: AN OPTIMIZATION APPROACH /
- A COMPARATIVE STUDY OF ELECTRIC VEHICLE ROUTING PROBLEMS /
- ENHANCING SUPPLY CHAIN EFFICIENCY THROUGH PREDICTIVE INVENTORY OPTIMIZATION USING ARTIFICIAL INTELLIGENCE /
Topaic: This Thesis Paper of IPE in B.Sc. Program.
- INVESTIGATION OF HARDENED CUTTING TOOL FOR TURNING OF MILD STEEL IN DRY CUTTING METHOD /
- PERFORMANCE ANALYSIS OF EAF DUST REINFORCED ALUMINIUM BASED METAL MATRIX COMPOSITE /
- OPTIMIZATION OF INBOUND LOGISTICS OF FMCG AND AUTOMOBILE INDUSTRY USING FLEXSIM /
- REVERSE LOGISTICS NETWORK DESIGN FOR SEMICONDUCTOR SUPPLY CHAIN: AN OPTIMIZATION APPROACH /
- A COMPARATIVE STUDY OF ELECTRIC VEHICLE ROUTING PROBLEMS /
- ENHANCING SUPPLY CHAIN EFFICIENCY THROUGH PREDICTIVE INVENTORY OPTIMIZATION USING ARTIFICIAL INTELLIGENCE /