MULTI PARAMETER OPTIMISATION USING GREY RELATIONAL TECHNIQUE IN TURNING OF EN24 STEEL WITH MINIMUM QUANTITY LUBRICATION (MQL)
Keywords:
Surface Roughness, Tool Wear, Grey Relational Analysis (GRA)Abstract
Since many years ago, multi-objective optimization technique has been used in a variety of diverse fields. The selection of optimum machining parameters plays a significant role to ensure quality of a product, reduce the manufacturing cost and increase productivity in computer control manufacturing process. Turning is an inherent complex process in competitive engineering problem. This study investigates multi response optimization of turning process for an optimal parametric combination to yield the minimum surface roughness and tool wear using a GRA (grey relational analysis). Confirmation test is conducted for the optimal machining parameters to validate the test result. Various input parameters, such as cutting fluid quantity, distance of nozzle block from the cutting point, cutting speed, feed and depth of cut are considered as input. This indicates the application feasibility of the grey-based Taguchi technique for a continuous improvement in product quality of manufacturing industry
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