In this work, Taguchi method is applied to determine the optimum process parameters for turning of AISI 304 austenitic stainless steel on CNC lathe. A Chemical vapour deposition (CVD) coated cemented carbide cutting insert is used which is produced by Duratomic TM technology of 0.4 and 0.8 mm nose radii. The tests are conducted at four levels of Cutting speed, feed and depth of cut. The influence of these parameters are investigated on the surface roughness and material removal rate (MRR). The Analysis Of Variance (ANOVA) is also used to analyze the influence of cutting parameters during machining. The results revealed that cutting speed significantly (46.05%) affected the machined surface roughness values followed by nose radius (23.7%). The influence of the depth of cut (61.31%) in affecting material removal rate (MRR) is significantly large. The cutting speed (20.40%) is the next significant factor. Optimal range and optimal level of parameters are also predicted for responses.
Now a day's achieving a good Surface Finish is the main challenge in the metal cutting industry during turning processes. The present work is to investigate the effect of cutting parameters (speed, feed and depth of cut) in CNC (Computer Numerical Control) turning of AA7075 to achieve low Surface Roughness using tungsten carbide insert. The experiments were designed as per the Taguchi's L9 (3 levels * 3 parameters) Orthogonal array technique. Analysis of variance (ANOVA) was performed to find the significance of the cutting parameters on the Surface roughness. The results showed that feed and cutting speed are the most important parameters influencing the surface roughness. From Taguchi analysis the minimum surface roughness are found at cutting speed of 1000 rpm (Level 1), feed of 0.2 mm/rev (Level 1) and depth of cut of 0.5 mm (Level 1) respectively. Thereafter, optimal range of surface roughness values was predicted. Finally, the relationship between cutting parameters and response was developed by using the MINITAB-16 software and regression analysis has been done. The predicted values were compared with the experimental values and it is observed that both the values were very nearer and hence the models prepared were more accurate and adequate.
In the present work, an investigation has been made to study the effect of cutting parameters (speed, (F =41.08) followed by the depth of cut (F =25.78) and speed (F = 22.55).
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