Reliability Analysis Of Milling Process And The Optimization Of Parameters Based On The Kriging

In recent years,high speed milling because of some irreplaceable advantages is widely used in various fields such as rail transportation,Marine,energy,aerospace,etc.However,the premise of high speed cutting is stable cutting,it also suggests that the need for stability study.At the same time,with the improvement of the level of social various aspects,for mechanical product,performance and appearance requirements also become more and more high,such as the complexity of the shape,the particularity of multifunctional additive,materials and puts forward higher requirements on high speed cutting,so the location error of surface also to be restricted.Stable cutting also can say that can't happen flutter,so the milling stability prediction model was set up by the discrete method,in order to meet the precision on the basis of improving the performance of the machine tool,use the same method to predict the surface location error and carries on the analysis.Then combining with the Kriging method carry numerical model,and also carry out the optimization of milling parameters design.The main work content is as follows:(1)First of all,research several sampling methods,then comprehensive of the characteristics of each method and put forward a hybrid sampling method.using genetic algorithm to optimize the parameters theta of Kriging model to educed the sensitivity of the model,and then to global optimization of Kriging model,the optimized methods have improved in terms of accuracy and calculation speed.(2)Establish the dynamic model of milling,adopt discrete method to synchronization predict the milling stability and surface location error,and then using the optimized Kriging method,respectively carry the reliability and sensitivity analysis,through the analysis of the results,more intuitive understanding of the various process parameters' influence on the stability of the milling and the location error surface.(3)The milling process parameters were optimized in the optimization,mainly with the optimization target of MRR and SLE,but the spindle speed,cutting force,torque,cutting power,cutting milling stability and surface location error of the reliability as constraint condition,the genetic algorithm is combined with nonlinear programming as an optimization method for the reliability optimization,finally obtain ideal effect.