Optimization of Process Parameters of Cylindrical Grinding of EN24 Steel Using Gray Relational Analysis and Taguchi Method
摘要
To achieve a smooth surface finish and minimum tolerances on cylindrical objects, cylindrical grinding is a popular practical method in industry. In this process, material is removed from the workpiece surface as small chips, and after this process, post-processing is not required. A grinding wheel is used in this process. Currently, there are various grinding processes, such as creep-feed grinding, surface grinding, centerless grinding, internal grinding, and cylindrical grinding. This process is used to grind external cylindrical parts such as spindles, connecting rods, cam shafts, engine shafts, axles, propeller shafts, etc. A cylindrical grinding machine is used to achieve a high machining rate and a high surface finish. The effect of the process parameters on the response parameters is the main goal of this work. Here, the most influential parameters are speed, feed rate, and the depth of cut. The response parameters are the metal removal rate and Ra. In the present work, machining is performed on EN24 alloy steel, and the objective is to achieve the specified material removal rate (MRR) and surface finish. The EN24 is a very high-strength steel alloy that is widely used in aircraft and heavy vehicle crankshafts, connecting rods, gearshafts, etc. To find the optimum set of process parameters, a Taguchi design of experiment with an L16 orthogonal array was used. Later, the experiment results are optimized by gray relational analysis (GRA). In the proposed work, the minimum surface roughness and the maximum MRR are obtained. The parameters that greatly influence obtaining the optimum result are the feed rate and the speed of machining.