Enesi Y. Salawu

Impact of Heat Treatment on HSS Cutting Tool (ASTM A600) and Its Behaviour during Machining Of Mild Steel(ASTM A36)

Carburization is one the best heat treatment that responded well to hardening with Palm Kernel Shell giving the nbest hardness value. This work studied the influence of carburization on HSStool(ASTM A600) and its behaviour during nmachining of mild steel (ASTM A36). Composition of the samples (12 pieces of 180 x 12 x12 mm) HSS tools were nchecked using UV-VIS spectrometer and the tools were carburized with PKS at holding temperatures and time of 800, n850, 900,950 oC and 60,90 120 minutes using muffle furnance. The micro structural analysis, surface and core hardnessof nthe treated samples gave better results than the untreated samples when checked withsoft driven and optical microscope. nIt wasalso observed that increase in the feed rate and depth for length of cut of 50 mm significantly reduces the wear nprogression and thereby gave best machining time at maximum carburizing temperature and time(950 oC / 120 minutes) nwhen it was used to cut mild steelon the lathe machine.

Dataset on experimental investigation of optimum carburizing temperature and holding time of bi-nano additives treatment of AISI 5130 steel

Investigation of optimum carburizing temperature and holding time on bi- nano additives treatment of AISI 5130 steel was presented in this study. AISI 5130 steel of 100u202fkg mass of 0.35% carbon content was buried in pulverized additives consisting of palm kernel and coconut shell using eggshell as an energizer. Four sets of 150×150×150u202fmm3 steel boxes packed with additives mixed at varying weight ratio of 50: 30:20 and sixty-four pieces of 20×20×5u202fmm3 AISI 5130 steel were case hardened using muffle furnace (2500u202f°C max capacity) at respective temperatures and time of 950, 1000, 1050, 1100u202f°C and 60, 90, 120, 180u202fmin. The core, interface and surface hardness of the treated samples with their respective weight loss, wear volume and rate were investigated. This dataset could be used in nano-composite match mixed ratio and optimization of carburizing medium and time for any industrial used case hardened steel.

Experimental and Mathematical Modeling for Prediction of Tool Wear on the Machining of Aluminium 6061 Alloy by High Speed Steel Tools

Abstract In recent machining operation, tool life is one of the most demanding tasks in production process, especially in the automotive industry. The aim of this paper is to study tool wear on HSS in end milling of aluminium 6061 alloy. The experiments were carried out to investigate tool wear with the machined parameters and to developed mathematical model using response surface methodology. The various machining parameters selected for the experiment are spindle speed (N), feed rate (f), axial depth of cut (a) and radial depth of cut (r). The experiment was designed using central composite design (CCD) in which 31 samples were run on SIEG 3/10/0010 CNC end milling machine. After each experiment the cutting tool was measured using scanning electron microscope (SEM). The obtained optimum machining parameter combination are spindle speed of 2500 rpm, feed rate of 200 mm/min, axial depth of cut of 20 mm, and radial depth of cut 1.0mm was found out to achieved the minimum tool wear as 0.213 mm. The mathematical model developed predicted the tool wear with 99.7% which is within the acceptable accuracy range for tool wear prediction.