Documenti analoghi: MULTI-OBJECTIVE OPTIMIZATION OF PARAMETERS IN HIGH-SPEED MACHINING OF H13 UNDER HYBRID NANO-MQL USING RSM, GA AND MOPSO /
- 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 /
- 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 /
- OPTIMIZATION OF MACHING PARAMETERS IN HIGH SPEED END MILLING OF Ti-6AI-4V ALLOY USING RSM AND GA /
- OPTIMIZATION OF MACHINING PARAMETERS IN HIGH-SPEED MACHINING OF HARDENED DIE STEEL – AISI H13 USING MULTILAYER – PVD COATED WC TOOLS USING RSM AND GA
- EFFECTIVENESS OF HIGH-SPEED MACHINING ON HARDEN DIE STEEL UNDER NANO PARTICLE BASED MQL (MINIMUM QUANTITY LUBRICANT) APPLICATION /
- OPTIMIZATION OF HIGH-SPEED END MILLING OF INCONEL 718 USING AI₂O3, DISPERSED NATURAL OIL IN MOL WITH RSM AND GA-ANN /
Soggetto: 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 /
Soggetto: This Thesis Paper of IPE in BSc Program.
- MULTI-OBJECTIVE OPTIMIZATION OF PARAMETERS IN HIGH-SPEED MACHINING OF H13 UNDER HYBRID NANO-MQL USING RSM, GA AND MOPSO /
- BIO-BASED POLYURETHANE FOAM REINFORCED WITH AGRICULTURAL WASTE FIBRES/
- LIGHTWEIGHT FOAMED CONCRETE WITH COIR, BAGASSE AND POLYPROPYLENE FIBER: A SUSTAINABLE APROACH /
- DEVELOPMENT AND MECHANICAL CHARACTERIZATION OF RAMIE FIBER REINFORCED BIO-COMPOSITE WITH EPOXY MATRIX AND MUSTARD OIL CAKE FILLER FOR LOW-LOAD AUTOMOBILE PARTS APPLICATION /
- SUPPLY CHAIN RESILIENCE MODELING FOR RMG INDUSTRY IN BANFLADESH; AN INTELLIGENT APPROACH /
- OPTIMIZATION OF MOS2 NANOPARTICLE ENRICHED GREEN LUBRICANT FOR ENHANCED MACHINABILITY OF TI-6AL-4V ALLOY /
Autore: Hossain, Mehrab
Autore: Supervised by AKM Nurul Amin
- MULTI-OBJECTIVE OPTIMIZATION OF PARAMETERS IN HIGH-SPEED MACHINING OF H13 UNDER HYBRID NANO-MQL USING RSM, GA AND MOPSO /
- OPTIMIZATION OF MOS2 NANOPARTICLE ENRICHED GREEN LUBRICANT FOR ENHANCED MACHINABILITY OF TI-6AL-4V ALLOY /
- OPTIMIZATION OF PROCESS PARAMETERS MIXED EDM OF Ti-6Al-4V USING RSM NANG POWDER /
- OPTIMIZATION OF HIGH-SPEED END MILLING OF INCONEL 718 USING AI₂O3, DISPERSED NATURAL OIL IN MOL WITH RSM AND GA-ANN /