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Optimizing machining parameters of carbon steel EN24 to minimize surface roughness and tool wear
- 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.
- Subjects :
- 010302 applied physics
Optimal design
Materials science
Design of experiments
Mechanical engineering
02 engineering and technology
General Medicine
Surface finish
021001 nanoscience & nanotechnology
01 natural sciences
Parametric design
Taguchi methods
Machining
0103 physical sciences
Surface roughness
Tool wear
0210 nano-technology
Subjects
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