Keywords : ANOVA

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

Salman Khurshid Alam; Gaurav Tamrakar

International Research Journal on Advanced Science Hub, 2021, Volume 3, Issue Special Issue ICITCA-2021 5S, Pages 61-67
DOI: 10.47392/irjash.2021.141

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.

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.