A cylindrical grinding machine is used to grind and form an object's exterior and is generally used in finishing process. Though near-net shape technology is evolving, finishing processes are frequently required to achieve dimensional accuracy and a satisfactory surface quality. Cylindrical grinding machine can operate with different types of shapes, provided the workpiece should have a rotating axis at center. In this study, austenitic SS304 was selected as the material of workpiece. It is used for domestic as well as industrial applications. This research focuses on applying Taguchi technique and Grey Relational Analysis for selecting optimal cylindrical grinding process variables for austenitic stainless steel 304. The process parameters in grinding operation serve as the input factors, the combination of which greatly affects the output responses. The grinding process variables investigated in this research work are workpiece speed, longitudinal feed, transverse feed and flow rate of the coolant. The effect of these grinding factors is analyzed on the performance measures: surface roughness and material removal rate. The experimentation was done based on L9 orthogonal array generated using the Taguchi technique. Further, optimal grinding process parameters (work speed = 20 m/min, longitudinal feed = 6 m/min, transverse feed = 0.02 mm, coolant flow rate = 1.43 l/min) which satisfy both the responses (surface roughness = 0.395 µm and Material Removal Rate = 189.37 mm3/s) were predicted using Grey Relational Analysis.
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