Investigation of Machining Parameters in CNC Turning of EN3 Low Carbon Steel Using Genetic Algorithm and Response Surface Methodology
| Autor: | K. Nantha Kumar, M. Mohamed Abdul Hafeez, K. Velmanirajan, R. Rave Kumar |
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| Rok vydání: | 2014 |
| Předmět: |
Engineering
Engineering drawing Cutting tool Carbon steel business.industry Scanning electron microscope Mechanical engineering General Medicine engineering.material chemistry.chemical_compound Machining chemistry Tungsten carbide Genetic algorithm Surface roughness Response surface methodology business |
| Zdroj: | Applied Mechanics and Materials. :883-887 |
| ISSN: | 1662-7482 |
| DOI: | 10.4028/www.scientific.net/amm.592-594.883 |
| Popis: | Burrs are bottleneck of precision machining and automation production. Burrs are formed in every edges and faces, during the turning process, which affects the quality level of surface roughness. In this paper the experimental study of EN3 low carbon steel were carried out to minimize the surface roughness using response surface methodology and genetic algorithm. Tungsten Carbide was used as a cutting tool for this turning operation. Machined samples are examined under Scanning Electron Microscope (SEM) for burr formation. A wide variety of analysis between cutting parameters have been shown graphically. The minimization of burr was achieved and hence better surface quality was obtained by optimizing the cutting parameters like cutting speed, feed, and depth of cut, with the aid of Genetic Algorithm (GA) & Response Surface Methodology (RSM) Techniques. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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