Publication

Abstract : Aluminium metal matrix composites (Al MMC) plays a vital role in energy savings and environmental friendliness owing to its light weight. Reinforcement of harder materials in soft matrix causes problems during machining. An attempt was made in the machining of hybrid Al MMC during milling by the way of analyzing the average surface roughness, material removal rate and flank wear of the tool. Based on Response Surface Methodology (RSM), the experiments were carried out under wet condition. The surface roughness and flank wear values vary from 0.215 µm to 0.289 µm and 0.108 mm to 0.2103 mm respectively. RSM regression model was used to predict the output responses. Moreover, a reasonable agreement was observed between the experimental and the predicted values of responses. Using the RSM desirability function, the multi-response optimization was carried out and the optimal process parameters for the milling process were found as spindle speed of 1999 rpm, the feed rate of 0.08 mm rev⁻¹ and depth of cut 1.01 mm. Also, the confirmation tests demonstrated that the RSM was efficiently used in optimizing the milling parameters.