Prediction of surface roughness during hard turning of AISI 4340 steel (69 HRC)
Various regression models were applied to the hard turning of AISI 4340 (69 HRC) steel. Random forest and Quantile regression models are used for modelling and machining for the first time. Feed rate is more dominant than cutting speed in influencing the surface roughness. Multiple regression models are robust when the surface roughness is below 1?m.
aisi american iron and steel institute anova analysis of variance ht hard turning hrc hardness on rockwell c scale cbn cubic boron nitride cnc computer numerically controlled lathe doe design of experiments mse mean squared error oob out of bag ga genetic algorithm nn neural networks rfr random forest regression rpm rotation of spindle per minute rsm response surface methodology var variation