IJRME – Volume 3 Issue 1 Paper 2


Author’s Name : B Logesh

Volume 03 Issue 01  Year 2016  ISSN No:  2349-3860  Page no: 5-9






In present scenario, with globalized market, industries are in need to produce high surface finish of metallic parts at lowest possible cost. Face milling is most adoptive and widely used technology in creating complex surfaces which creates larger surface finish. The current research focuses on determining optimal cutting parameters to create high Material Removal Rate in milling process. These experiments were carried out on LM6 Aluminium alloy reinforced with 10% of silicon carbide particles. The machining parameters which are taken for the present study are cutting speed (rpm), feed rate (mm/tooth), depth of cut (mm) and coolant condition. Frictional factorial design (FFD) technique is used for optimizing process parameters. Experiment was conducted by eight trail runs of two level fractional factorial designs. The mathematical models were developed which were from the experimental data that are generated. ‘T’-test and ‘F’-test were used to test significant of coefficients and adequacy of experimentally developed models. The research details that the established equations clearly show that material removal rate (MRR) increases with the feed increasing and low depth of cut but under wet condition it decreases with increasing cutting speed.


Optimization; Machining Parameter; Face milling process; Material Removal Rate (MRR); Frictional Factorial Design Technique


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