Optimization of Parameters to Reduce the Surface Roughness in Face Milling Operation on Cast Iron Work piece Applying Taguchi Method
|International Journal of Engineering Trends and Technology (IJETT)||
|© 2020 by IJETT Journal|
|Year of Publication : 2020|
|Authors : Yogesh Raut, Dr. Amit Bahekar
|DOI : 10.14445/22315381/IJETT-V68I1P202|
MLA Style: Yogesh Raut, Dr. Amit Bahekar "Optimization of Parameters to Reduce the Surface Roughness in Face Milling Operation on Cast Iron Work piece Applying Taguchi Method" International Journal of Engineering Trends and Technology 68.1 (2020):9-13.
APA Style:Yogesh Raut, Dr. Amit Bahekar. Optimization of Parameters to Reduce the Surface Roughness in Face Milling Operation on Cast Iron Work piece Applying Taguchi Method International Journal of Engineering Trends and Technology, 68(1),9-13.
This experimental study is based on the optimization of milling parameters to reduce the surface roughness in face milling operation using Cast Iron Work Piece. This experimental study will conduct under the three varying parameters depth of cut, spindle speed and feed rate. The settings of milling parameters will determine by using the Taguchi experimental design of L9 Orthogonal array method. All the nine experiments have conducted using a cast iron work piece and the roughness was checked using the surface roughness tester. Minitab 19 software has used to find out the combination of the optimum milling parameters by using the analysis of Signal-to-Noise (S/N) ratio. This experimental study will help in decreasing the surface roughness using the optimal combination of the milling parameters.
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Milling Machine, Surface Roughness, Taguchi Method, S/N ratio, Optimization