Keywords : MRR

Optimization of Multiple Input Process Parameters of WEDM on Titanium Ti 6Al-4v (Grade 5) By Taguchi Analysis

Karthikeyan A G; Pradeep V P; Maruthapandian .

International Research Journal on Advanced Science Hub, 2020, Volume 2, Issue 6, Pages 1-10
DOI: 10.47392/irjash.2020.29

The experimental study is about the optimizing the cutting process parameters of the WEDM (Wirecut Electric Discharge Machining) during the machining of Titanium Ti 6Al-4V (Grade 5) material. The high strength and high hardness of Titanium Ti 6Al-4V (Grade 5) alloy offers a challenging task in obtaining a better surface finish and Material Removal Rate. The material removal rate and the surface roughness of Titanium Ti 6Al-4V (Grade 5) is carried out and an excellent machined surface can be obtained by the setting the machining parameters at optimum level by various experimental study of material while machining in WEDM. The machining parameters such as Pulse ON time (TON), Pulse OFF time (TOFF), Gap Voltage (GV) and Wire Feed Rate (WFR) used as input parameters to attain optimum output responses like Material Removal Rate(MRR) and surface roughness using Taguchi’s DOE approach. In this present work, 9 Experiments were conducted for 4 inputs Parameter and 3 levels for each Input parameter and the experimental results of MRR were analysed using Taguchi method. From the Signal to Noise ratio values of MRR, the optimum levels of selected Input Process Parameter were found successfully

Optimization of cutting parameters during Turning of AISI d3 steel using dry and Lubrication condition

Rajiv Kumar N; Umar Ahamed P; Muhammad saleh A

International Research Journal on Advanced Science Hub, 2020, Volume 2, Issue 4, Pages 34-45
DOI: 10.47392/irjash.2020.23

The objective of this paper is focused on turning of AISI D3 Steel using coated cemented carbide tool cutting inserts. The experiments were performed on a KIROLOSKAR model center lathe using three input cutting parameters, cutting speed, feed and depth of cut. Hardened steels are most widely used in multifarious industrial applications like tool design and mould design. The output responses measured were surface roughness (Ra), Interface temperature and material removal rate (MRR). In present study, the Taguchi technique has been used to optimize the controllable process parameters for AISI D3 cold work turning tools then the interaction effects of various hard turning parameters on each response were also studied using analysis of variance (ANOVA) and interaction plots. Further a regression is modelled as a function of cutting parameters to predict values for surface roughness in comparison with experimental values within reasonable limits. Based on the main effects plots and signal to noise ratio (S/N) obtained through Taguchi’s approach, were used to relate the optimum level for surface roughness chosen from the considered there levels of cutting parameters.