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Optimizing machining parameters of carbon steel EN24 to minimize surface roughness and tool wear

Authors :
Gnanadurai Ravikumar Solomon
K. Srinath
B. Gokul
A. Abraham Eben Andrews
J. Jensin Joshua
Source :
Materials Today: Proceedings. 33:3902-3906
Publication Year :
2020
Publisher :
Elsevier BV, 2020.

Abstract

EN 24 (817M40) is used for creating punches and dies due to its hardenability, it's very tough to machine, so we investigate the parameters affecting the surface roughness produced within the turning process for the carbon steel EN24. Design of experiments was conducted for the analysis of the influence of the turning parameters like cutting speed, feed rate, tool wear and depth of cut on the surface roughness. The results of the machining experiments were accustomed characterize the most factors affecting surface roughness by the Analysis of Variance (ANOVA) method Taguchi’s parametric design is that the effective tool for robust design it offers an easy and systematic qualitative optimal design to a comparatively low cost. The Taguchi method of quality control encompasses all stages of product and process development. However, the key element for achieving prime quality at low cost is Design of Experiments (DOE). during this Analysis Taguchi’s (DOE) approach used to analyze the effect of process parameters like cutting speed, feed rate, tool wear and depth of cut on Surface Roughness and to get an optimal set of those parameters which will lead to good surface finish.

Details

ISSN :
22147853
Volume :
33
Database :
OpenAIRE
Journal :
Materials Today: Proceedings
Accession number :
edsair.doi...........44f2eb1e59a3360c0c217a210a642db6
Full Text :
https://doi.org/10.1016/j.matpr.2020.06.246