Paper Details

The present work makes an attempt to analyzevarious parameters of end milling in order to minimize thesurface roughness and to maximize the material removal rate (MRR) of Al 2024-SiC composite. Al2024-SiC is generallyused in manufacturing high strength parts of aircrafts and machinery, fuselage structural wing tension members, wingskins, engine parts subjected to high temperaturesincluding gears and bolts and for security vans where strength iscritical. The quality of the machined surface, i.e., surface finish and texture affects the function, appearance andreliability of a product. On the other hand higher production rate is possible when MRR is maximum. But higher MRRleads to lower surface finish, so a tradeoff between Surface finish and MRR is needed. In this work, the optimal selectionof process parameters have been done in order to obtain optimized response output parameters namely surfaceroughness and MRR by using Taguchi’s technique. And ANOVA analysis. In machining operations, achieving desiredsurface quality is a bit difficult as these quality structures are influenced by the effect of process parameters and theirinteractions. However, the amounts of influence of the process parameters vary for different processes. Therefore,optimization of surface roughness and MRR is a multi-factor and multi-objective optimization which is carried outsuccessfully by the help of Taguchi optimization technique

Atul Kumar, Dr. Sudhir Kumar, Dr. Rohit Garg, Dr. Neeraj Kumar, “Multi-Objective Optimization in CNC End Millingusing Taguchi Optimization Technique”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 4, Issue 7, pp. 187-196, July 2017.