Optimization of Parameters in CNC milling of P20 steel using Response Surface methodology and Taguchi Method
| Autor: | M. Vishnu Vardhan, G. Sankaraiah, H. Jeevan Rao, M. Yohan |
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| Rok vydání: | 2017 |
| Předmět: |
0209 industrial biotechnology
Engineering drawing Design–Expert Materials science Material removal 02 engineering and technology Radius 021001 nanoscience & nanotechnology Taguchi methods 020901 industrial engineering & automation Cnc milling Surface roughness Response surface methodology Composite material Orthogonal array 0210 nano-technology |
| Zdroj: | Materials Today: Proceedings. 4:9163-9169 |
| ISSN: | 2214-7853 |
| DOI: | 10.1016/j.matpr.2017.07.273 |
| Popis: | In this paper an attempt is made to optimize parameters such as Cutting speed, Feed, Nose radius, Axial depth of cut and Radial depth of cut of P20 steel in CNC milling using Response surface Methodology and Taguchi method using Design Expert software. This paper is focused on the analysis of optimum cutting conditions to get lower surface roughness (Ra) and Higher Material Removal Rate (MRR) using RSM method and Taguchi Methods. Experiments were designed using Taguchi L50 orthogonal array method and experiments were conducted. The results are analyzed using Analysis of Variance (ANOVA). The optimized results are Nose Radius=0.8 mm, Cutting speed=95m/min, Feed=0.18mm/min, Axial Depth of cut=1.5mm, Radial Depth of Cut=0.69mm produces the optimum values of surface roughness Ra= 0.615μm, and the optimum material removal rate MRR=298.5cm3/min. It is observed that the optimized values of parameters are similar in both Response surface methodology and Taguchi method. The results from this study show that RSM and taguchi method can determine the optimized values of parameters in CNC milling. |
| Databáze: | OpenAIRE |
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