A Review on Optimization of Process Parameters for Material Removal Rate and Surface Roughness for SS 202 Material During Face Milling Operation |
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BibTeX: |
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@article{IJIRSTV1I11181, |
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Abstract: |
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In the last few years the development of new materials show deep growth but the major problem is it’s machining. So it is necessary adopt new machining methods. CNC (Computer Numerical Control) milling machine is one of the common machine tools in machine industry. Face milling is very common method for finishing of new materials and machined materials. The determination of optimal process parameters such as spindle speed, tool feed and depth of cut are one of the vital parameters. All experiment conduct on CNC face milling machine on SS202 material. During the face milling process, the material is removed by the face mill cutter. The effects of various parameters of face milling process like spindle speed, depth of cut, feed rate have been investigated to reveal their Impact on Material Removal Rate and surface roughness using Taguchi Methodology. The experiments are conducted by using Taguchi L9 orthogonal array as suggested by Taguchi. Signal-to-Noise (S/N) ratio and Analysis of Variance (ANOVA) is employed to analyses the effect of milling parameters on material removal rate and surface roughness. Experimental plan is performed by a Standard Orthogonal Array. The results of analysis of variance (ANOVA) indicate that the proposed mathematical model can be adequately describing the performance within the limit of factors being studied and various plots were generated by using MINITAB software. |
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Keywords: |
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optimization, Taguchi method, ANOVA, cutting parameter, MRR, surface roughness |
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