Research On Surface Topography Of Spindle Speed Variation Turning

Turning has been widely used in manufacturing systems such as aviation,aerospace,shipbuilding,chemical engineering,automotive and so on.Turning is one of the most basic machining processes.Machining chatter occurs in almost all kinds of cutting process.Chatter not only imposes negative effects on machining accuracy and surface quality,but also causes damage to machine tool components,resulting in high economic cost.Spindle speed variation is a method to suppress chatter,and it gets more and more attention because it is cost-effective and efficient to suppress chatter.This paper is focused on surface topography of spindle speed variation cutting and carried out in terms of following aspects:Propose the surface topography model based on plastic side flow and relative motion and verify the model by experiments.The model considered force variation induced by spindle speed variation,expressed radical surface profile by using Fourier series and engineering approximation and finally describe the total surface topography.Experiment results shows that the model can express surface topography accurately while initial cutting state is stable.The coefficient of model and spindle speed variation parameters have a linear correlation,and the relationship can provide evidence for predicting surface topography.Propose the surface roughness model based on Bayesian regularized neural network.The model can predict the roughness accurately in chatter and stable cutting station,and the error is within 5%.Synchronous training method of Bayesian regularized neural network is proposed,which can stop the local optimal training process in time to improve the training efficiency.