Research On The Optimization Method Of Multi-axis Milling Process Of Thin-walled Parts

In the aerospace,defense industry and other important areas such as impeller blades and other thin-walled class parts have been widely used.Because this kind of parts in the machining process have the characteristics of complex structure,high surface quality and precision requirements.This leads to this type of parts processing is difficult,surface accuracy and quality problems are difficult to guarantee.Therefore,this technology is used to study the error problem with the manufacturing process of multi-axis CNC machining thin-walled parts.It can effectively solve the problem that the parts are easy to deform and the machining quality is difficult to achieve the expected quality and accuracy.In this paper,multi-axis milling process optimization of thin-walled parts are studied.It mainly investigates the machine chatter error caused by the dynamic characteristics of multi-axis machine tools and the force-induced deformation error of ball-head milling cutters.A combination of modeling,simulation and experimentation is used to investigate an optimization method for multi-axis simultaneous milling of thin-walled parts.The main studies are as follows:First,the three-dimensional machine model under the linkage state of each component in the processing space of the double-turntables five-axis machine tool is established.The natural frequencies of each machining position of five-axis machine tool with double-turntables were obtained by finite element modal simulation.The machine tool performance was characterized by drawing the dynamic characteristic spectrum of the whole processing space.The dynamic characteristics of the machine tool are analyzed by the obtained diagram,and the accuracy of the model is finally confirmed by the hammering experiment.Secondly,this paper analyzes the machining errors caused by ball-head milling cutters in the milling process of multi-axis machine tools.In this paper,a modified prediction model of milling force under dynamic load considering the effect of regenerative flutter displacement is established.This combines the milling force correction model with the non-uniform load cantilever beam model to perform a force-induced tool deformation analysis.It constructs the prediction model of milling machining force-induced error and proposes the study of machining error control strategy based on machining parameter optimization.Finally,a machining optimization method based on digital twin technology is proposed for the manufacturing process of thin-walled parts.In this paper,based on digital twin technology thin-walled parts processing optimization model.The article also analyzes the structure of the model.On this basis,a multi-axis machining error evaluation and control system based on digital twin technology are designed.The machining error can be evaluated,predicted and controlled.The effectiveness of the system is verified by blade machining experiments.