OPTIMISATION OF MACHINING PARAMETERS IN ALUMINIUM ALLOY COMPOSITE USING GENETIC ALGORITHM

Aluminum alloy composites have emerged as an important class of materials, which are increasingly being utilized in recent years. Application of these materials in certain areas is limited due to difficulties in machining. The principal machining parameters that control machinability characteristics are extrinsic parameters (cutting speed, feed rate, depth of cut, and type of cutting tools) and intrinsic parameters (particulate size, volume fraction, and type of reinforcement)Using genetic algorithms for the optimal search of cutting conditions, the chromosomes represent cutting conditions defined according to a temporal scale and are composed by random keys. The present review is focused on the influence of cutting parameters of reinforcement on the surface finish. This review will provide an insight into selecting the optimum machining parameters for machining metal matrix composites.