Volume 3, Issue 3

Taguchi’s Optimization of Process Parameters Using CNC End Milling Machine

Author

Haripriyani. A* and D. Santha rao

Abstract

In this study an attempt has been made to manufacture the Aluminum metal matrix (AMC) through a liquid metallurgical route. The matrix used in the study is Aluminum cast alloy 64430 and reinforcement particles selected are Silicon Carbide (SiC) particles ranging its size from 50-70 microns. Application of these materials in many areas is due to its light weight, good wear resistance and machinability. End milling is one of the most commonly used metal removal operation in industry because of its ability to remove material faster with good surface finish. The parameters that influence the surface roughness are spindle speed, depth of cut, feed rate, material and geometry of tool. The study also focuses to Optimize process parameters using Taguchi design of experiments. The three process parameters and three levels are selected and orthogonal array L9 is used for experimentation and the surface roughness is measured and optimized. Analysis of variance (ANOVA) is performed to know the impact of individual factors on surface roughness and material removal rate. Using regression analysis the theoretical values are predicted and compared with the experimental values for validation.

DOI

https://doi.org/10.62226/ijarst20140329

PAGES : 374-377 | 33 VIEWS | 86 DOWNLOADS

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