Analysis of Tool Wear and Surface Roughness in Turning Operation of EN 31Steel by Taguchi Approach

Salman Alam,Gaurav Tamrakar

doi:10.47392/irjash.2021.141

Abstract

In the field of material removal, metal cutting is one of the most important manufacturing methods. The parametric optimization of the turning mechanism is the subject of this article. Cutting speed, feed rate, and cut depth are specific input parameters. MINITAB 18 uses a L9 orthogonal array to design the combination of these parameters. Turning operations are based on the Design of Experiment are used to assess tool wear and surface roughness. The Taguchi method was used to design and optimize the experiment. ANOVA was used to assess which cutting parameters have a major impact on surface roughness and tool wear. To optimize surface roughness and finish, EN 31 is used as a workpiece and SNMG120408MS is used as a carbide cutting tools wear .Cutting speed (40, 60, and 90 m/min), feed rate (0.1, 0.15, and 0.2 mm/rev), and cut depth are the turning parameters (0.5, 0.75 and 1.0 mm). Arm wear at each cutting edge of the tool is determined by toolmaker microscope and surface roughness is measured by Talysurf profilometer (Taylor Hobson Surtronic 3). Cutting speed is the most important tool parameter, according to the findings.

Highlights

Introduction roughness and tool wear was studied usingOptimizing cutting parameters in dry turning of AISI-D2 steel in order to achieve minimal tool wear and work piece surface temperature and most material removal rate (MRR)
In the field of material removal, metal cutting is one of the most important manufacturing methods
The results showed that depth of cut and cutting speed are the foremost dominating parameters poignant the tool wear

Summary

Introduction roughness and tool wear was studied using

Optimizing cutting parameters in dry turning of AISI-D2 steel in order to achieve minimal tool wear and work piece surface temperature and most MRR. [11] Kivak, Practiced the Taguchi technique and multivariate analysis to work out the machinability of Hadfield steel with PVD TiAlN and CVD TiCN/Al2O3 coated inorganic compound inserts below dry edge conditions. Analysis of variance results showed that feed rate, cutting speed and depth of cut affects the surface roughness. Results showed that the depth of cut is most vital parameter poignant surface roughness followed by feed.[20] Yang et al Worked on Taguchi technique to search out the optimum cutting parameters for turning operations. Find out the optimal value of cutting speed, feed rate and depth of cut to give lowest surface roughness and tool wear

C Mn Si Cr Fe P S

Taguchi Analysis and ANOVA Taguchi

Conclusions